Distributed Load Flow using Partitioning and Equivalencing of Power Networks
|
|
- Coral Day
- 5 years ago
- Views:
Transcription
1 16th NATIONAL POWER SYSTEMS CONFERENCE, 15th-17th DECEMBER, Distributed Load Flow using Partitioning and Equivalencing of Power Networks G A Ezhilarasi Department of Electrical Engineering Indian Institute of Technology Madras Chennai , INDIA angel.ezhil@gmail.com K S Swarup Department of Electrical Engineering Indian Institute of Technology Madras Chennai , INDIA swarup@ee.iitm.ac.in Abstract This paper presents a distributed load flow that can be implemented in decentralized control centres. This becomes essential for power system having geographically separated areas. The system is partitioned into two areas balancing the number of nodes in each area. This is done to balance the computational load on the system in each control center. The Boundary buses are treated as load buses and the generator buses in the internal and the external system respectively. Simulation is done on IEEE Standard 14 Bus and 30 Bus s simulation and comparison is done between the base case and the reduced load flow results. Index Terms Partitioning, Network Equivalent, Distributed Computing. I. INTRODUCTION Power system is a large interconnected complex network involving computation intensive applications and highly intensive, nonlinear dynamic entities that spread across vast area. Under normal as well as congested condition, centralized control requires powerful computing facilities and multiple high speed communication links at the control centers. During certain circumstances, a failure in remote part of the system might spread instantaneously if the control action is delayed. This lack of response may cripple the entire power system including the centralized control center itself. An effective way to monitor and control complex power system is to intervene locally at places where there is disturbance and control the problem from propagating through the network. Hence distributed computing can greatly enhance the reliability and can be used effectively in power system applications. To simulate and implement distributed computing in power system the large interconnected network must be torn into sub networks in an optimal way. The partitioning should balance between the size of the sub networks and the interconnecting tie lines in order to reduce the overall parallel execution time. Over the past decades a number of algorithms have been proposed in literature for optimal network tearing. The techniques include dynamic programming, and the heuristic clustering approaches. Some of the optimization techniques such as simulated annealing, genetic algorithm [1] and tabu search [2] have also been used for network tearing[3]. For these optimization problems the cost function is formed such that it reflects the features of parallel and distributed processing. However these methods are computation intensive and involve procedures based on natural selection crossover and mutation. It also requires a large population size and occupies more memory. As the power system is geographically distributed in nature, the optimal partitions of IEEE Standard systems is taken manually in this paper.[4] The following sections are organized as follows. Section 2 gives an overview of distributed computing of load flow in power system. The two important tasks in distributed computing are network partitioning and representing the external system by its equivalent. These two tasks are briefed in the next two sections. Section 5 discusses the implementation of the proposed methodology on IEEE 14 bus and IEEE 30 Bus s. II. DISTRIBUTED LOAD FLOW Distributed approach can greatly enhance the reliability and improve the flexibility and efficiency of power system monitoring and control.the Distributed Processing is a flexible means for the power system operators to manage the system efficiently within a limited period [5]. Control Center 1 Fig. 1. Control Center 1 Distributed Load Flow Control Center 1 Schematic Distributed Power The two main tasks in distributed computing are network partitioning and equivalencing the external network. The first step in implementing this is to divide the entire power system into a number of control areas, and then set up a lower level control center for each area. It has many advantages over the
2 16th NATIONAL POWER SYSTEMS CONFERENCE, 15th-17th DECEMBER, centralized control like higher efficiency, economy, enhanced reliability and flexibility, even though it increases the capital investment for communication system [1]. As shown in Figure 1, each sub area communicates with the centralized control center and also among themselves. In this work, the base case load flow is used after partitioning the system and the data can be obtained offline from the centralized control center [6]. The various steps involved in this process is explained by means of a flowchart in Fig 2. The interconnected power system network is taken for study. The Base case load flow is done on the entire system under normal conditions. Then optimal partitioning of the network is done in such a way that the resulting sub network is a connected graph. The resulting partitions are treated as geographically distributed sub areas. The system under study is taken as the internal system and the other one is the external system. The external system is represented by the power flow in the tie lies obtained from the base case power flow. Then the distributed load flow is done simultaneously in the internal and the external system. The validity of this approach is justified from the error analysis on the voltage magnitude and angle at the buses and the power flow in the lines of the sub networks. Fig. 2. Network Partition Represent Equivalent Load Flow Start Read Entire Data Perform Base Case Load Flow Perform Error Analysis Stop Load Flow Flowchart for Distributed Load Flow Load Flow Study is an important application in power system, that plays a vital role in planning and designing the power system and its expansion. It plays a vital role in determining the operating state of the existing system. The principal information obtained from this study is the magnitude and phase angle of the voltage at each bus and the real and reactive power flow in the lines. The net loss in the system is also be computed from the system load flow. The conventional methods used to solve the load flow problem involve intensive computations and are time consuming [7]. A typical power flow program can handle large amount of data if the computing facilities are sufficiently large. In a restructured environment, the Independent Operator (ISO) executes load flow program to study the reliability of the system and also for transmission congestion management. The load flow results helps the ISO to examine the feasibility of the schedules in the market operations. Since electric power system is naturally distributed over a vast geographical area, distributed monitoring and control becomes essential. Distributed management consists of several clusters of computers at the sub area control centers separated miles apart [8]. This has many advantages over the centralized control of the entire system like reliability, flexibility and economy. The distributed system can provide many functions that are difficult to realize in a centralized system like online external equivalent of the other sub areas [9] III. NETWORK PARTITIONING For a integrated hierarchical architecture, it is impractical to do any power system calculation for such a huge interconnected system through centralized processing. It is ideal that each area does its own calculations under some presumed base case conditions. In decentralised processing architecture, the entire system is partitioned in to sub areas each being controlled by their own control centers [10]. All the sub areas are linked with each other by a central control centers. Apart from its own areas control, the central control centre acts a negotiator between the sub area control centres. In real time each area is geographically separated from the other areas. It needs the data at the boundary buses that are connected to the adjacent areas and governed by different control centers. In this work a simple partition scheme is employed to establish the real time geographical sub areas [11]. The singularity check is done on the partitions created. Buses in the layer are identified along with the Boundary and Boundary. The Details of the and Boundary Buses are given in Table I. TABLE I PARTITION DETAILS OF IEEE TEST CASES Test Case Boundary Boundary 14 Bus 30 Bus 1, 2, 3, 5, 8 1, 2, 3, 5, 7, 9, 11 4, 6, 7 9, 11, 12, 13 4, 6, 8, 10 12, 17, 20, 21, 22, 28 10, 14 13, 14, 15, 16, 18, 19, 23, 24, 25, 26, 27, 29, 30. The schematic of the partitions made for IEEE 14 Bus system are shown in the Figure 3. This partition has the
3 16th NATIONAL POWER SYSTEMS CONFERENCE, 15th-17th DECEMBER, minimum number of tie lines and the number of nodes in the sub network is also well balanced. The schematic of the and the external system. For detailed analysis of the the external system is represent by its equivalent to reduce the computational burden. The conventional techniques used for network equivalents are the WARD Equivalents [12], Radial Equivalent Independent(REI) [13] Equivalents and Linearisation. The impediments of these techniques lies in their inability to model any change in the external network [14]. The networks are valid for incremental changes within the internal networks only. In this work a simple method of representing the external system by means of the power injections at those buses is done. The overview of this approach is shown in Fig. 5 and Fig Fig Optimal Partition of IEEE 14 Bus into 2 Clusters partitions made for IEEE 30 Bus system are shown in the Figure 4. In this case if the network is divided into equal partitions then the connectivity of the network is lost leading to isolated node. Hence load balancing of the sub networks is not considered in this case. Boundary Tie Lines Boundary Fig. 5. Schematic of Interconnected Power Load Generation Fig. 6. Schematic of Partitioned Power 1 Fig Optimal Partition of IEEE 30 Bus into 2 Clusters As depicted above the boundary buses at the internal system and the external system are separated. The boundary buses in the internal system are treated a load buses with the load being the power flow in the tie lines from that bus. Similarly the boundary buses at the external system are assumed to be generator buses with the power flow in the tie lines as the generation at that bus. The slack bus [15] is taken to be the generator bus with maximum generation and voltage and angle being fixed using the base case power flow results. IV. NETWORK EQUIVALENTS Network Equivalencing methods aims to identify the internal area of the system to be fully preserved and the external area that is to reduced and represented by its equivalent. The boundary buses at the internal and the external system are also identified, which yields the tie lines between the internal V. CASE STUDY The simulations were done on IEEE 14 bus and IEEE 30 bus system. The partitions are created by sequential testing fo all possible combinations and singularity checks. The system is separated into and and the Boundary Buses are identified. The partitions created are
4 16th NATIONAL POWER SYSTEMS CONFERENCE, 15th-17th DECEMBER, Actual Distributed Actual Distributed V pu Phase Angle δ (a) Voltage Magnitude 18 (b) Phase Angle Error in V pu 0.5 x (c) Error in Voltage Magnitude Error in δ pu (d) Error in Phase Angle Fig. 7. Comparison of IEEE 14 Bus Results already shown in section 3. Conventional load flow is done using fast decoupled load flow method and the same is applied on the partitioned system. The results are justified in terms of the error in the voltage magnitude and the angle in the system. It is found that for the system under study the error in voltage is found to be minimum. The power flow in the lines also are compared for the distributed load flow. Table II shows the simulation results of IEEE 14 Bus system. The error between the actual voltage maginitudes and the distributed system voltage magnitudes is found to be minimum. The same has been tabulated for the phase angles also. This is visualized best in the Fig 7. Comparison of voltage magnitude and phase angle of IEEE 30 Bus system is shown in Table III. The real and reactive power flows of the interconnected system is compared with that of the partitioned internal and external system. The simulation results of the test cases are found to match with minimum error as shown in Table IV. TABLE II COMPARISON OF VOLTAGE MAGNITUDE AND VOLTAGE ANGLE FOR IEEE 14 BUS SYSTEM Bus Voltage Magnitude V (p.u) Phase Angle δ (deg) No Actual Actual
5 16th NATIONAL POWER SYSTEMS CONFERENCE, 15th-17th DECEMBER, TABLE IV COMPARISON OF REAL AND REACTIVE POWER FLOWS OF IEEE TEST CASES Test Sub Line Real Power Flow (MW) Reactive Power Flow (MVAR) Case Area No Actual Distributed Error Actual Distributed Error IEEE 14 Bus IEEE 30 Bus
6 16th NATIONAL POWER SYSTEMS CONFERENCE, 15th-17th DECEMBER, TABLE III COMPARISON OF VOLTAGE MAGNITUDE AND VOLTAGE ANGLE FOR IEEE 30 BUS SYSTEM Bus Voltage Magnitude V (p.u) Phase Angle δ (deg) No Actual Actual [3] P. Kanakasabapathy and K. Swarup, Optimal Bidding Strategy for Multi-unit Pumped Storage Plant in Pool-Based Electricity Market Using Evolutionary Tristate PSO, in ICSET, 2008, pp [4] L. Chuang, H. Chang, C. Tu, and C. Yang, Improved binary PSO for feature selection using gene expression data, Computational Biology and Chemistry, vol. 32, no. 1, pp , [5] H. Ding, A. El-Keib, and R. Smith, Optimal clustering of power networks using genetic algorithms* 1, Electric Power s Research, vol. 30, no. 3, pp , [6] J. Park, K. Lee, J. Shin, and K. Lee, A particle swarm optimization for economic dispatch with nonsmooth cost functions, IEEE Transactions on Power s, vol. 20, no. 1, pp , [7] B. Baran, E. Kaszkurewicz, and D. Falcao, Team algorithms in distributed load flow computations, IEE Proceedings-Generation, Transmission and Distribution, vol. 142, no. 6, pp , [8] Y. Wallach and V. Conrad, Parallel solutions of load flow problems, Electrical Engineering (Archiv fur Elektrotechnik), vol. 57, no. 6, pp , [9] H. Shayeghi, M. Mahdavi, and A. Kazemi, Discrete Particle Swarm Optimization Algorithm Used for TNEP Considering Network Adequacy Restriction, planning, vol. 5, pp. 6 12, [10] K. Chan, R. Dunn, and A. Daniels, Efficient heuristic partitioning algorithm for parallel processing of large power systems network equations. [11] X. Zhi, X. Xing, Q. Wang, L. Zhang, X. Yang, C. Zhou, and Y. Liang, A discrete PSO method for generalized TSP problem, in Machine Learning and Cybernetics, Proceedings of 2004 International Conference on, vol. 4, [12] E. Housos, G. Irisarri, R. Porter, and A. Sasson, Steady state network equivalents for power system planning applications, IEEE Transactions on Power Apparatus and s, pp , [13] M. Oatts, S. Erwin, and J. Hart, Application of the REI equivalent for operations planning analysis of interchange schedules, IEEE transactions on power systems, vol. 5, no. 2, pp , [14] Y. Phulpin, B. Miroslav, M. Petit, J. Heyberger, and D. Ernst, Evaluation of network equivalents for voltage optimization in multi-area power systems, IEEE Transactions on Power s, vol. 24, no. 2, [15] G. Jang, D. Hur, J. Park, and S. Lee, A modified power flow analysis to remove a slack bus with a sense of economic load dispatch, Electric Power s Research, vol. 73, no. 2, pp , VI. CONCLUSION This paper presents the distributed computing approach to load flow problem in power system. Conventional Fast Decoupled Load flow is used for the solving the problem. The interconnected system is partitioned into smaller clusters and the internal external and boundary buses are identified for the partitioned system. The boundary buses in the internal system are treated as load buses and that in the external system as generator buses. The distributed load flow is done on the reduced system. The simulation is done on IEEE Standard 14 bus and 30 Bus s. The results of the base case load flow and the distributed load flow are compared. The error is found to be minimum for the test cases under study. Hence the distributed load flow study can be implemented in a restructured power system using distributed energy management system. REFERENCES [1] M. Irving and M. Sterling, Optimal network tearing using simulated annealing, IEE Proceedings C Generation, Transmission and Distribution [see also IEE Proceedings-Generation, Transmission and Distribution], vol. 137, no. 1, pp , [2] C. Chang, L. Lu, and F. Wen, Power system network partitioning using tabu search, Electric power systems research, vol. 49, no. 1, pp , 1999.
Optimal Reactive Power Dispatch Using Hybrid Loop-Genetic Based Algorithm
Optimal Reactive Power Dispatch Using Hybrid Loop-Genetic Based Algorithm Md Sajjad Alam Student Department of Electrical Engineering National Institute of Technology, Patna Patna-800005, Bihar, India
More informationInternational Journal of Current Research and Modern Education (IJCRME) ISSN (Online): & Impact Factor: Special Issue, NCFTCCPS -
TO SOLVE ECONOMIC DISPATCH PROBLEM USING SFLA P. Sowmya* & Dr. S. P. Umayal** * PG Scholar, Department Electrical and Electronics Engineering, Muthayammal Engineering College, Rasipuram, Tamilnadu ** Dean
More informationLoad Flow Analysis Using Real Coded Genetic Algorithm
RESEARCH ARTICLE OPEN ACCESS Load Flow Analysis Using Real Coded Genetic Algorithm Himakar Udatha *, Dr. M. Damodar Reddy ** * M.tech Student, Department of EEE, S.V. University, Tirupati. ** Professor,
More informationIJETST- Volume 01 Issue 09 Pages November ISSN
International Journal of Emerging Trends in Science and Technology Optimal Placement of SVC in Power System for Voltage Stability Enhancement Using Genetic Algorithm Authors Nithin A Skaria 1, Sarin Baby
More informationA Modified PSO Technique for the Coordination Problem in Presence of DG
A Modified PSO Technique for the Coordination Problem in Presence of DG M. El-Saadawi A. Hassan M. Saeed Dept. of Electrical Engineering, Faculty of Engineering, Mansoura University, Egypt saadawi1@gmail.com-
More informationISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 7, Issue 1, July 2017
Congestion Management in Deregulated Power System Using Market Splitting Based Approach Manish Harchand 1, KanwardeepSingh 2 M.Tech student 1, Associate professor 2 Department of Electrical Engineering,
More informationDistribution Feeder Reconfiguration for minimum losses using Genetic Algorithms
Distribution Feeder Reconfiguration for minimum losses using Genetic Algorithms K.K.S.V.V. Prakasa Rao, Member IEEE and V. C. Veera Reddy, Former Member IEEE K.K.S.V.V Prakasa Rao, SDSC SHAR, ISRO, Dept
More informationPerformance analysis of FACTS devices in steady state power flow
Performance analysis of FACTS devices in steady state power flow VELAMURI SURESH 1, SREEJITH.S 2 1 Research Scholar, 2 Associate Professor School of Electrical engineering, VIT University Vellore, INDIA
More informationSVC & TCSC for Minmum Operational Cost Under Different Loading Condition
SVC & TCSC for Minmum Operational Cost Under Different ing Condition Biplab Bhattacharyya 1 Associate Professor, Electrical Engg. Indian School of Mines, Dhanbad, India Email: biplabrec@yahoo.com S.K.Goswami
More informationOptimal Location and Size of Distributed Energy Resources Using Sensitivity Analysis-Based Approaches
Optimal Location and Size of Distributed Energy Resources Using Sensitivity Analysis-Based Approaches Mohammed Benidris Electrical & Biomedical Engineering University of Nevada, Reno Reno, NV 89557, USA
More informationCHAPTER-5 APPLICATION OF SYMBIOTIC ORGANISMS SEARCH ALGORITHM
100 CHAPTER-5 APPLICATION OF SYMBIOTIC ORGANISMS SEARCH ALGORITHM 5.1 INTRODUCTION The progressive increase in electrical demand has been the cause for technical problems to the utility companies such
More informationRestoration of Power Supply in a Multiple Feeder Distribution Network using Dijkstra s Algorithm
Research Article International Journal of Current Engineering and Technology E-ISSN 2277 4106, P-ISSN 2347-5161 2014 INPRESSCO, All Rights Reserved Available at http://inpressco.com/category/ijcet Restoration
More informationNetwork Reconfiguration for Loss Reduction in Electrical Distribution System Using Genetic Algorithm
Network Reconfiguration for Loss Reduction in Electrical Distribution System Using Genetic Algorithm S. A. Nagy*, I. S. Ibrahim, M. K. Ahmed*, A. S. Adail and S. Soliman Hot Labs Center, Atomic Energy
More informationFUZZY LOGIC TECHNIQUE FOR CONGESTION LINE IDENTIFICATION IN POWER SYSTEM
FUZZY LOGIC TECHNIQUE FOR CONGESTION LINE IDENTIFICATION IN POWER SYSTEM Mohd Ali N. Z, I. Musirin, H. Abdullah and S. I. Suliman Faculty of Electrical Engineering, Universiti Teknologi Mara Malaysia,
More informationIJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 10, 2015 ISSN (online):
IJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 10, 2015 ISSN (online): 2321-0613 Comparison of Shunt Facts Devices for the Improvement of Transient Stability of Two Machine
More informationOPTIMAL ALLOCATION OF DISTRIBUTED RESOURCES CONSIDERING CUMULATIVE VOLTAGE STABILITY INDEX FOR POWER DISTRIBUTION NETWORK USING TLBO
International Journal of Electrical Engineering & Technology (IJEET) Volume 9, Issue 6, November December 2018, pp. 14 23, Article ID: IJEET_09_06_002 Available online at http://www.iaeme.com/ijeet/issues.asp?jtype=ijeet&vtype=9&itype=6
More informationCHAPTER 6 ORTHOGONAL PARTICLE SWARM OPTIMIZATION
131 CHAPTER 6 ORTHOGONAL PARTICLE SWARM OPTIMIZATION 6.1 INTRODUCTION The Orthogonal arrays are helpful in guiding the heuristic algorithms to obtain a good solution when applied to NP-hard problems. This
More informationRe-Dispatching Generation to Increase Power System Security Margin and Support Low Voltage Bus
496 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL 15, NO 2, MAY 2000 Re-Dispatching Generation to Increase Power System Security Margin and Support Low Voltage Bus Ronghai Wang, Student Member, IEEE, and Robert
More informationA Genetic Algorithm for Graph Matching using Graph Node Characteristics 1 2
Chapter 5 A Genetic Algorithm for Graph Matching using Graph Node Characteristics 1 2 Graph Matching has attracted the exploration of applying new computing paradigms because of the large number of applications
More informationDiscussion of Various Techniques for Solving Economic Load Dispatch
International Journal of Enhanced Research in Science, Technology & Engineering ISSN: 2319-7463, Vol. 4 Issue 7, July-2015 Discussion of Various Techniques for Solving Economic Load Dispatch Veerpal Kaur
More informationMinimal Loss Configuration for Large-Scale Radial Distribution Systems using Adaptive Genetic Algorithms
16th NATIONAL POWER SYSTEMS CONFERENCE, 15th-17th DECEMBER, 2010 647 Minimal Loss Configuration for Large-Scale Radial Distribution Systems using Adaptive Genetic Algorithms Anil Swarnkar, Member, IEEE,
More informationInternational Journal of Digital Application & Contemporary research Website: (Volume 1, Issue 7, February 2013)
Performance Analysis of GA and PSO over Economic Load Dispatch Problem Sakshi Rajpoot sakshirajpoot1988@gmail.com Dr. Sandeep Bhongade sandeepbhongade@rediffmail.com Abstract Economic Load dispatch problem
More informationAlleviation of Line Congestion using Multiobjective Particle Swarm Optimization
International Journal of Electronic and Electrical Engineering. ISSN 0974-2174 Volume 4, Number 1 (2011), pp.123-134 International Research Publication House http://www.irphouse.com Alleviation of Line
More informationLOAD SHEDDING AN EFFICIENT USE OF LTC TRANSFORMERS
LOAD SHEDDING AN EFFICIENT USE OF LTC TRANSFORMERS Luciano V. Barboza André A. P. Lerm Roberto S. Salgado Catholic University of Pelotas Federal Center for Technological Education of Pelotas Federal University
More informationPOWER FLOW ANALYSIS AND PROTECTION COORDINATION OF REAL TIME SYSTEM
POWER FLOW ANALYSIS AND PROTECTION COORDINATION OF REAL TIME SYSTEM Thanigaivel M PG Scholar Power Systems Engineering Sri Muthukumaran Institute of Technology Chennai, India Azeezur Rahman A Assistant
More informationA Novel Approach to Small Signal Stability Enhancement using Fuzzy Thyristor Susceptance control of SVC using Lyapunov Stability
16th NATIONAL POWER SYSTEMS CONFERENCE, 15th-17th DECEMBER, 2010 278 A Novel Approach to Small Signal Stability Enhancement using Fuzzy Thyristor Susceptance control of SVC using Lyapunov Stability D.Harikrishna,
More informationOn-line Estimation of Power System Security Limits
Bulk Power System Dynamics and Control V, August 26-31, 2001, Onomichi, Japan On-line Estimation of Power System Security Limits K. Tomsovic A. Sittithumwat J. Tong School of Electrical Engineering and
More informationHybrid Real coded Genetic Algorithm - Differential Evolution for Optimal Power Flow
Hybrid Real coded Genetic Algorithm - Differential Evolution for Optimal Power Flow C.N. Ravi 1, G. Selvakumar 2, C. Christober Asir Rajan 3 1 Research Scholar, Sathyabama University, Chennai, Tamil Nadu,
More informationChapter 2 State Estimation and Visualization
Chapter 2 State Estimation and Visualization One obvious application of GPS-synchronized measurements is the dynamic monitoring of the operating conditions of the system or the dynamic state estimation
More informationObject-oriented power system analysis
J. Indian Inst. Sci., Sept. Oct. 2004, 84, 141 154 Indian Institute of Science. Object-oriented power system analysis Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai
More informationFeeder Reconfiguration Using Binary Coding Particle Swarm Optimization
488 International Journal Wu-Chang of Control, Wu Automation, and Men-Shen and Systems, Tsai vol. 6, no. 4, pp. 488-494, August 2008 Feeder Reconfiguration Using Binary Coding Particle Swarm Optimization
More informationGenetic Algorithm for Circuit Partitioning
Genetic Algorithm for Circuit Partitioning ZOLTAN BARUCH, OCTAVIAN CREŢ, KALMAN PUSZTAI Computer Science Department, Technical University of Cluj-Napoca, 26, Bariţiu St., 3400 Cluj-Napoca, Romania {Zoltan.Baruch,
More informationTHE MAIN purpose of optimal reactive power flow (ORPF)
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 21, NO. 3, AUGUST 2006 1163 A Hybrid Genetic Algorithm Interior Point Method for Optimal Reactive Power Flow Wei Yan, Fang Liu, C. Y. Chung, Member, IEEE, and K.
More informationA Genetic Programming Slant on the Way to Record De-Duplication in Repositories
A Genetic Programming Slant on the Way to Record De-Duplication in Repositories Preethy.S Department of Information Technology N.P.R.College of Engineering and Technology, Dindigul, Tamilnadu, India Daniel
More informationAppendix A DC Load Flow
Appix A DC Load Flow A.1 The Load Flow Problem Formulation of classic load flow problem requires considering four variables at each bus i of power system. These variables are 1. P i (Net active power injection)
More informationAggregation of Buses for a Network Reduction HyungSeon Oh, Member, IEEE
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 27, NO. 2, MAY 2012 705 Aggregation of Buses a Network Reduction HyungSeon Oh, Member, IEEE Abstract A simple but precise model would improve the computation efficiency
More informationTraffic Signal Control Based On Fuzzy Artificial Neural Networks With Particle Swarm Optimization
Traffic Signal Control Based On Fuzzy Artificial Neural Networks With Particle Swarm Optimization J.Venkatesh 1, B.Chiranjeevulu 2 1 PG Student, Dept. of ECE, Viswanadha Institute of Technology And Management,
More informationInternational Journal of Scientific & Engineering Research Volume 4, Issue 2, February ISSN
International Journal of Scientific & Engineering Research Volume 4, Issue, February-1 1 Voltage Stability Enhancement through Static Var Compensator A.S. Siddiqui 1, Tanmoy Deb Jamia Millia Islamia, New
More informationOPTIMAL LOCATION OF SVC USING BENEFIT FACTORS TO IMPROVE THE VOLTAGE PROFILE IN POWER SYSTEMS
European International Journal of Science and Technology Vol. 4 No. 2 February, 2015 OPTIMAL LOCATION OF SVC USING BENEFIT FACTORS TO IMPROVE THE VOLTAGE PROFILE IN POWER SYSTEMS IRENE N. MUISYO a, KEREN
More informationOptimization of Cutting Parameters for Milling Operation using Genetic Algorithm technique through MATLAB
International Journal for Ignited Minds (IJIMIINDS) Optimization of Cutting Parameters for Milling Operation using Genetic Algorithm technique through MATLAB A M Harsha a & Ramesh C G c a PG Scholar, Department
More informationMOST of power system optimization problems including
34 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 20, NO. 1, FEBRUARY 2005 A Particle Swarm Optimization for Economic Dispatch With Nonsmooth Cost Functions Jong-Bae Park, Member, IEEE, Ki-Song Lee, Joong-Rin
More informationCHAPTER 2 CONVENTIONAL AND NON-CONVENTIONAL TECHNIQUES TO SOLVE ORPD PROBLEM
20 CHAPTER 2 CONVENTIONAL AND NON-CONVENTIONAL TECHNIQUES TO SOLVE ORPD PROBLEM 2.1 CLASSIFICATION OF CONVENTIONAL TECHNIQUES Classical optimization methods can be classified into two distinct groups:
More informationOptimal Facility Layout Problem Solution Using Genetic Algorithm
Optimal Facility Layout Problem Solution Using Genetic Algorithm Maricar G. Misola and Bryan B. Navarro Abstract Facility Layout Problem (FLP) is one of the essential problems of several types of manufacturing
More informationIntelligent Agents in Transmission Network Protection
SYNOPSIS OF Intelligent Agents in Transmission Network Protection A THESIS to be submitted by Anuradha.Charugalla for the award of the degree of Master of Science (by Research ) Department of Electrical
More informationDiscrete Particle Swarm Optimization for TSP based on Neighborhood
Journal of Computational Information Systems 6:0 (200) 3407-344 Available at http://www.jofcis.com Discrete Particle Swarm Optimization for TSP based on Neighborhood Huilian FAN School of Mathematics and
More informationHybrid Approach for Placement of Multiple DGs in Primary Distribution Networks
Asian Journal of Electrical Sciences ISSN: 2249 6297, Vol. 7, No. 2, 2018, pp. 90-95 The Research Publication, www.trp.org.in Hybrid Approach for Placement of Multiple DGs in Primary Distribution Networks
More informationExpansion of a Control Center System: Emergency and Backup Setups
Proceedings of the 11th WSEAS International Conference on SYSTEMS, Agios Nikolaos, Crete Island, Greece, July 23-25, 2007 457 Expansion of a Control Center System: Emergency and Backup Setups OSAMAH ALSAYEGH
More informationDr. Ramesh Kumar, Nayan Kumar (Department of Electrical Engineering,NIT Patna, India, (Department of Electrical Engineering,NIT Uttarakhand, India,
Dr Ramesh Kumar, Nayan Kumar/ International Journal of Engineering Research and An Efficent Particle Swarm Optimisation (Epso) For Solving Economic Load Dispatch (Eld) Problems Dr Ramesh Kumar, Nayan Kumar
More informationGenetic Algorithm for Job Shop Scheduling
Genetic Algorithm for Job Shop Scheduling Mr.P.P.Bhosale Department Of Computer Science and Engineering, SVERI s College Of Engineering Pandharpur, Solapur University Solapur Mr.Y.R.Kalshetty Department
More informationACTIVE POWER LOSS MINIMIZATION IN RADIAL DISTRIBUTION SYSTEM USING NETWORK RECONFIGURATION IN THE PRESENCE OF DISTRIBUTED GENERATION
ACTIVE POWER LOSS MINIMIZATION IN RADIAL DISTRIBUTION SYSTEM USING NETWORK RECONFIGURATION IN THE PRESENCE OF DISTRIBUTED GENERATION 1 K.SANDHYA, 2 D.SAI KRISHNA KANTH 1 PG Student, Dept of EEE, Annamacharya
More informationTransient Stability Improvement of Long Transmission Line System by Using SVC
Transient Stability Improvement of Long Transmission Line System by Using SVC Dr.Tarlochan Kaur 1 and Sandeep Kakran 2 1 Associate Professor, EED, PEC University of Technology, Chandigarh, India 2 Assistant
More informationOptimization of Reactive Power by Using SVC and TCSC Devices for Reducing Transmission Losses
Optimization of Reactive Power by Using SVC and TCSC Devices for Reducing Transmission Losses Abstract Kuldeep G, Thakre 1 Dr. Z. J. Khan 2 1 Department of electrical engineering, RCERT, Gondwana University,
More informationReal-time Power System Operation. Energy Management Systems. Introduction
1 Real-time Power System Operation Energy Management Systems Introduction The time frame for Power Systems Operation varies from a few seconds to a week. To assist with the operation of the system, modern
More informationCHAPTER 2 MULTI-OBJECTIVE REACTIVE POWER OPTIMIZATION
19 CHAPTER 2 MULTI-OBJECTIE REACTIE POWER OPTIMIZATION 2.1 INTRODUCTION In this chapter, a fundamental knowledge of the Multi-Objective Optimization (MOO) problem and the methods to solve are presented.
More informationA Genetic Algorithm Approach to the Group Technology Problem
IMECS 008, 9- March, 008, Hong Kong A Genetic Algorithm Approach to the Group Technology Problem Hatim H. Sharif, Khaled S. El-Kilany, and Mostafa A. Helaly Abstract In recent years, the process of cellular
More informationA NEW APPROACH TO SOLVE ECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATION
A NEW APPROACH TO SOLVE ECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATION Manjeet Singh 1, Divesh Thareja 2 1 Department of Electrical and Electronics Engineering, Assistant Professor, HCTM Technical
More informationB. System Model A (homogeneous multiprocessor system is composed
A Module Scheduling for Multiprocessor System Based on Memetic Algorithms Surinder Kumar Department of Mathematics, S.G.G.S College, Sec-26, Chandigarh, India Abstract: - In multiprocessor systems, an
More informationNetwork reconfiguration using PSAT for loss
University of Wollongong Research Online Faculty of Informatics - Papers (Archive) Faculty of Engineering and Information Sciences 2010 Network reconfiguration using PSAT for loss Essa-J-Abdul Zehra Iraqi
More informationSolving Economic Load Dispatch Problems in Power Systems using Genetic Algorithm and Particle Swarm Optimization
Solving Economic Load Dispatch Problems in Power Systems using Genetic Algorithm and Particle Swarm Optimization Loveleen Kaur 1, Aashish Ranjan 2, S.Chatterji 3, and Amod Kumar 4 1 Asst. Professor, PEC
More informationOPTIMUM CAPACITY ALLOCATION OF DISTRIBUTED GENERATION UNITS USING PARALLEL PSO USING MESSAGE PASSING INTERFACE
OPTIMUM CAPACITY ALLOCATION OF DISTRIBUTED GENERATION UNITS USING PARALLEL PSO USING MESSAGE PASSING INTERFACE Rosamma Thomas 1, Jino M Pattery 2, Surumi Hassainar 3 1 M.Tech Student, Electrical and Electronics,
More informationA PMU-Based Three-Step Controlled Separation with Transient Stability Considerations
Title A PMU-Based Three-Step Controlled Separation with Transient Stability Considerations Author(s) Wang, C; Hou, Y Citation The IEEE Power and Energy Society (PES) General Meeting, Washington, USA, 27-31
More informationINTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & MANAGEMENT
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & MANAGEMENT MOBILITY MANAGEMENT IN CELLULAR NETWORK Prakhar Agrawal 1, Ravi Kateeyare 2, Achal Sharma 3 1 Research Scholar, 2,3 Asst. Professor 1,2,3 Department
More informationEscaping Local Optima: Genetic Algorithm
Artificial Intelligence Escaping Local Optima: Genetic Algorithm Dae-Won Kim School of Computer Science & Engineering Chung-Ang University We re trying to escape local optima To achieve this, we have learned
More informationMulti Objective Reconfiguration of Distribution Networks with the Objective to Reduce Losses and Improving Power Quality Parameters
Applied mathematics in Engineering, Management and Technology 2 (5) 214:177-183 www.amiemt-journal.com Multi Ojective Reconfiguration of Distriution Networks with the Ojective to Reduce Losses and Improving
More informationQUANTUM BASED PSO TECHNIQUE FOR IMAGE SEGMENTATION
International Journal of Computer Engineering and Applications, Volume VIII, Issue I, Part I, October 14 QUANTUM BASED PSO TECHNIQUE FOR IMAGE SEGMENTATION Shradha Chawla 1, Vivek Panwar 2 1 Department
More informationBinary Particle Swarm Optimization Based Defensive Islanding Of Large Scale Power Systems
International Journal of Computer Science & Applications Vol. 4 Issue 3, pp 6-83 7 Technomathematics Research Foundation Binary Particle Swarm Optimization Based Defensive Islanding Of Large Scale Power
More informationOptimal Proxy-Limited Lines for Representing Voltage Constraints in a DC Optimal Powerflow
Optimal Proxy-Limited Lines for Representing Voltage Constraints in a DC Optimal Powerflow by Michael Schlindwein A thesis submitted in fulfillment of the requirements for the degree of Master of Science
More informationResearch Article Path Planning Using a Hybrid Evolutionary Algorithm Based on Tree Structure Encoding
e Scientific World Journal, Article ID 746260, 8 pages http://dx.doi.org/10.1155/2014/746260 Research Article Path Planning Using a Hybrid Evolutionary Algorithm Based on Tree Structure Encoding Ming-Yi
More informationSoftware Development for Optimum Allocation of Power System Elements Based on Genetic Algorithm
Proceedings of the 6th WSEAS International Conference on Power Systems, Lisbon, Portugal, September 22-24, 2006 155 Software Development for Optimum Allocation of Power System Elements Based on Genetic
More informationOptimal Power Flow with Stability Constraints
SCHOOL OF ENGINEERING AND INFORMATION TECHNOLOGY ENG470: 2015 ENGINEERING HONOURS THESIS Optimal Power Flow with Stability Constraints Author: Youssof Kheder Academic Supervisor: Dr. Gregory Crebbin DECLARATION
More informationPower Flow Method for Loss Allocation in Radial Distribution Networks with DGs
Power Flow Method for Loss Allocation in Radial Distribution Networks with DGs G.Naguraiah 1, K. Jithendra Goud 2 1M.Tech student, Electrical Department, JNTUA College of Engineering, Anantapur, India.
More informationCHAPTER 5 ANT-FUZZY META HEURISTIC GENETIC SENSOR NETWORK SYSTEM FOR MULTI - SINK AGGREGATED DATA TRANSMISSION
CHAPTER 5 ANT-FUZZY META HEURISTIC GENETIC SENSOR NETWORK SYSTEM FOR MULTI - SINK AGGREGATED DATA TRANSMISSION 5.1 INTRODUCTION Generally, deployment of Wireless Sensor Network (WSN) is based on a many
More informationFlexible High-Speed Load Shedding Using a Crosspoint Switch
Flexible High-Speed Load Shedding Using a Crosspoint Switch Will Allen and Tony Lee Schweitzer Engineering Laboratories, Inc. Published in Wide-Area Protection and Control Systems: A Collection of Technical
More informationSatisfiability Modulo Theory based Methodology for Floorplanning in VLSI Circuits
Satisfiability Modulo Theory based Methodology for Floorplanning in VLSI Circuits Suchandra Banerjee Anand Ratna Suchismita Roy mailnmeetsuchandra@gmail.com pacific.anand17@hotmail.com suchismita27@yahoo.com
More informationSolving Travelling Salesman Problem and Mapping to Solve Robot Motion Planning through Genetic Algorithm Principle
Indian Journal of Science and Technology, Vol 8(35), DOI: 10.17485/ijst/2015/v8i35/86809, December 2015 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 Solving Travelling Salesman Problem and Mapping
More informationBI-OBJECTIVE EVOLUTIONARY ALGORITHM FOR FLEXIBLE JOB-SHOP SCHEDULING PROBLEM. Minimizing Make Span and the Total Workload of Machines
International Journal of Mathematics and Computer Applications Research (IJMCAR) ISSN 2249-6955 Vol. 2 Issue 4 Dec - 2012 25-32 TJPRC Pvt. Ltd., BI-OBJECTIVE EVOLUTIONARY ALGORITHM FOR FLEXIBLE JOB-SHOP
More informationModule 1 Lecture Notes 2. Optimization Problem and Model Formulation
Optimization Methods: Introduction and Basic concepts 1 Module 1 Lecture Notes 2 Optimization Problem and Model Formulation Introduction In the previous lecture we studied the evolution of optimization
More informationCongestion Management in Deregulated Power System by Fuzzy Based Optimal Location and Sizing of UPFC
Congestion Management in Deregulated Power System by Fuzzy Based Optimal Location and Sizing of UPFC UMA.V / P.LAKSHMI / J.D.ANUNCIYA Department of Electrical & Electronics Engineering Anna University
More informationUniversity of California, Santa Cruz Baskin Engineering School Electrical Engineering Department
Lab-2 Intro, rev2.0, page 1 University of California, Santa Cruz Baskin Engineering School Electrical Engineering Department Laboratory 2 Tutorial Addendum Introduction to POWERWORLD Simulator EE175L Power
More informationDensity Based Clustering using Modified PSO based Neighbor Selection
Density Based Clustering using Modified PSO based Neighbor Selection K. Nafees Ahmed Research Scholar, Dept of Computer Science Jamal Mohamed College (Autonomous), Tiruchirappalli, India nafeesjmc@gmail.com
More informationParticle swarm optimization for mobile network design
Particle swarm optimization for mobile network design Ayman A. El-Saleh 1,2a), Mahamod Ismail 1, R. Viknesh 2, C. C. Mark 2, and M. L. Chan 2 1 Department of Electrical, Electronics, and Systems Engineering,
More informationPublic Service Company of New Mexico
Public Service Company of New Mexico Open Transmission Planning Meeting November 2, 2017 Albuquerque, NM INTRODUCTION Public Stakeholder Meeting Order 890 Objective to improve transparency and stakeholder
More informationFinding Optimal Tour Length of Mobile Agent in Wireless Sensor Network
Conference on Advances in Communication and Control Systems 2013 (CAC2S 2013) Finding Optimal Tour Length of Mobile Agent in Wireless Sensor Network Anil Kumar Mahto anil.fiem16@gmail.com Ajay Prasad Department
More informationDYNAMIC SITE LAYOUT PLANNING USING MTPE PRINCIPLE FROM PHYSICS
DYNAMIC SITE LAYOUT PLANNING USING MTPE PRINCIPLE FROM PHYSICS Mohsen Andayesh* and Farnaz Sadeghpour Department of Civil Engineering, University of Calgary, Calgary, Canada * Corresponding author (m.andayesh@ucalgary.ca)
More informationA Binary Model on the Basis of Cuckoo Search Algorithm in Order to Solve the Problem of Knapsack 1-0
22 International Conference on System Engineering and Modeling (ICSEM 22) IPCSIT vol. 34 (22) (22) IACSIT Press, Singapore A Binary Model on the Basis of Cuckoo Search Algorithm in Order to Solve the Problem
More informationABC Analysis For Economic operation of power system
ABC Analysis For Economic operation of power system 1 Prachi Shukla, 2.Alka Thakur 1 M.tech Schlor, Electrical Department, SSSUTMS, M.P.India 2 Associate Professor, Electrical Department, SSSUTMS, M.P.India
More informationA Quick Judgment Method for the Infeasible Solution of Distribution Network Reconfiguration
2018 International Conference on Power, Energy and Environmental Engineering (ICPEEE 2018) ISBN: 978-1-60595-545-2 A Quick Judgment Method for the Infeasible Solution of Distribution Network Reconfiguration
More informationA Novel Approach for the Optimal PMU Placement using Binary Integer Programming Technique
A Novel Approach for the Optimal PMU Placement using Binary Integer Programming Technique J. S. Bhonsle 1 & A. S. Junghare 2 1 Department of Electrical Engg., Priyadarshini Institute of Engineering & Technology,
More informationA guide on PowerWorld Simulator ver. 12.0
A guide on PowerWorld Simulator ver. 12.0 This tutorial has been developed to aid the undergraduate and graduate students at the University of Cyprus to learn the basic features of PowerWorld. It is not
More informationA Genetic Algorithm for Solving the Optimal Power Flow Problem
A Genetic Algorithm for Solving the Optimal Power Flow Problem Tarek BOUKTIR a, Linda SLIMANI a, M. BELKACEMI b a Department of Electrical Engineering, University of Oum El Bouaghi,04000, Algeria. Email:tbouktir@lycos.com;
More informationEnhancement of Voltage Stability by Optimal Location of Static Var Compensator Using Genetic Algorithm and Particle Swarm Optimization
American J. of Engineering and Applied Sciences 5 (): 70-77, 202 ISSN 94-7020 204 Kalaivani and Kamaraj, This open access article is distributed under a Creative Commons Attribution (CC-BY) 3.0 license
More informationModeling and Simulation of Static VAR Compensator Controller for Improvement of Voltage Level in Transmission Lines
Modeling and Simulation of Static VAR Compensator Controller for Improvement of Voltage Level in Transmission Lines 1 B.T.RAMAKRISHNA RAO, 2 N.GAYATRI, 3 P.BALAJI, 4 K.SINDHU 1 Associate Professor, Department
More informationMemorias del XVI Congreso Latinoamericano de Control Automático, CLCA 2014 Octubre 14-17, Cancún, Quintana Roo, México
Memorias del XVI Congreso atinoamericano de Control Automático, CCA 014 Service Restoration in Distribution Networks Considering Distributed Generation Jorge E. Mendoza-Baeza*, Héctor R. Pavez.*, Héctor
More informationKhushboo Arora, Samiksha Agarwal, Rohit Tanwar
International Journal of Scientific & Engineering Research, Volume 7, Issue 1, January-2016 1014 Solving TSP using Genetic Algorithm and Nearest Neighbour Algorithm and their Comparison Khushboo Arora,
More informationCHAPTER 6 HYBRID AI BASED IMAGE CLASSIFICATION TECHNIQUES
CHAPTER 6 HYBRID AI BASED IMAGE CLASSIFICATION TECHNIQUES 6.1 INTRODUCTION The exploration of applications of ANN for image classification has yielded satisfactory results. But, the scope for improving
More informationOptimal Power Flow of Distribution Network
Optimal Power Flow of Distribution Network Dr.R.Muthu Kumar 1 and Ms. Swathi M 2 1 Associate Professor, Department of EEE, Shree Venkateshwara Hi-Tech Engineering College, Erode, India 2 PG Scholar, ME
More informationFast Efficient Clustering Algorithm for Balanced Data
Vol. 5, No. 6, 214 Fast Efficient Clustering Algorithm for Balanced Data Adel A. Sewisy Faculty of Computer and Information, Assiut University M. H. Marghny Faculty of Computer and Information, Assiut
More informationA Hybrid Genetic Algorithm for the Distributed Permutation Flowshop Scheduling Problem Yan Li 1, a*, Zhigang Chen 2, b
International Conference on Information Technology and Management Innovation (ICITMI 2015) A Hybrid Genetic Algorithm for the Distributed Permutation Flowshop Scheduling Problem Yan Li 1, a*, Zhigang Chen
More informationA Review of Multiprocessor Directed Acyclic Graph (DAG) Scheduling Algorithms
A Review of Multiprocessor Directed Acyclic Graph (DAG) Scheduling Algorithms Shivani Sachdeva 1, Poonam Panwar 2 1 M.Tech Student, 2 Assistant Professor, Deptt. of Comp. Sc. & Engg, Ambala College of
More informationA Deterministic Analysis Method for Back-feed Power Restoration of Distribution Networks
1 A Deterministic Analysis Method for Back-feed Power Restoration of Distribution Networks Zhenyuan Wang, Vaibhav Donde, Fang Yang, James Stoupis, Member, IEEE Abstract This paper presents a deterministic
More information