Implementation of TOU for Smart Power Consumption

Transcription

1 Implementation of TOU for Smart Power Consumption ARUN KUMAR RATH 1, SANTOSH KUMAR MALLICK 2, AMRIT KUMAR PANIGRAHI 3 1 Asst.Professor in EEE Dept. GIET Gunupur, Orissa 2 Lecturer in EEE Dept. GIET, Gunupur, Orissa 3 Asst.Professor in EEE Dept. GIET Gunupur, Orissa ABSTRACT This paper presents the economic analysis and perfect utilization of electrical energy in domestics and industrial consumers and to send message to a single consumer for perfect time of utilisation so that each and every consumer will get electrical energy. In this method the efficiency of distribution system can be increased. Smart grid encourages consumers to prefer suitable energy in co operation with power grid at the most suitable time. The main aim of this, is the load sharing and minimize the stress on the distribution lines like Transformer, neighbor consumer etc. by motivating consumers to operate only the most essential appliances at peak load periods and to transfer the operation of less needed appliances at off peak hours when tariff may be lower. A case study has been developed to provide information to enable the user Mr. Krishna Murty who is a LT consumer, The results and analysis which have been presented in this has been generated by a real time data collected for mogulthur, Andhra pradesh. Keywords:- Smart consumer, peak load, consumptions and appliances 1.INTRODUCTION The smart energy information management system was developed with the ability to record, store and process power consumption data of every major appliance in the domestic and industrial sector. The power consumption data is accessible through the smart way like consumer energy portal, s and handheld devices. Consumers can track their power usage by device, room or appliance, which helps better regulate power consumption by analyzing minute wise, half-hourly, hourly, daily and monthly and smart appliances, and automatically respond to increased demand in smart grid. The case studies is developed for LT consumers, build complete power analysis, develop different types of reports and save the power consumption amount by using power during off peak or mid peak. The TOU (Time of Use) Tariff is used to reduce peak loads. The power analysis reports provide the deep insight into their consumption patterns like on peak, off peak, mid peak and cost per appliances. Appliances wise consumption for LT consumer The following case study has been developed to provide information to enable the user to act. Mr. Krishna Murty is a LT consumer and category is LT1-domestic. The below analysis provides deep insight for Mr.Krishna Murty to take effective decisions The consumers does not know about their 1) Daily energy consumption 2) Daily/hourly/half hourly/minute wise consumption 3) Which appliances are causing more energy consumption 4) How they can manage their consumption better The below reports clearly demonstrates the net savings by the use of TOU tariffs and the designed reports like cost by appliances. Appliances wise consumption for LT consumer For the LT consumers of Mogulturu circle we have consider Krishna Murty with service no The data is physically collected by appliances and analyzes the power consumption by appliance for Krishna Murty and provides deep insight on overall consumption. Table Appliances wise consumption for LT consumers in month of September 2012 Volume 4, Issue 1, January 2015 Page 75

2 Total load of the particular consumer can depends on the below equation LT otal required = L CW + L DI +L FC +L L +L R +LT C +L WH +L Other (1) Total unit consumed for the above load given by U Total = U CW +U DI +U FC +U L +U R +U TC+ U WH +U Other (2) Total cost can be calculated by the equation C T =C CW +C DI +C FC +C L +C R +C TC +C WH +C Other (3) Where, LT otal required = Total load required for the consumer L CW =Load required for clothe washer L DI =Load required for Dryer & Iron L FC =Load required for fan & cooler L L =Load required for lights L R =Load required for refrigerator LT C =Load required for TV & Computer L WH =Load required for water heater L Other =Load required for other application U Total =Total unit consumed U CW =Unit consumed for clothe washer U DI = Unit consumed for Dryer & Iron U FC = Unit consumed for fan & cooler U L = Unit consumed for light U R = Unit consumed for refrigerator U TC = Unit consumed for TV & Computer U WH = Unit consumed for water heater L Other = Unit consumed for other application C T =Total cost C CW =Cost for clothe washer C DI = Cost for Dryer & Iron C FC = Cost for fan & cooler C L = Cost for light C R = Cost for refrigerator C TC =Cost for TV & Computer C WH =Cost for water heater C Other = Cost for other application Figure Appliances wise consumption for LT consumers in month of September 2012 Table Appliances wise consumption for LT consumers in month of October 2012 Billed Application ID KWH clothe washer 12 dryer+iron 14 fans+cooler 48 lights 32 others 20 Volume 4, Issue 1, January 2015 Page 76

3 pump 17 refrigeration 15 TV+ Computer 52 water heater Table Appliances wise consumption for LT consumers in month of October 2012 Table Appliances wise consumption for LT consumers in month of novmber2012 Billed Application ID KWH clothe washer 7 dryer+iron 13 fans+cooler 43 lights 35 others 23 pump 9 refrigeration 19 TV+ Computer 47 water heater Table Appliances wise consumption for LT consumers in month of November 2012 Cost Wise Consumption For LT consumer For the LT consumer of Mogulturu circle we have considered Mr. KRISHNA MURTY with service no. sc1020/21 and physically the data is collected appliances wise and analyzed the power consumption cost by appliances wise and analyzed the power consumption cost by appliance for KRISHNA MURTY and provided deep insight on overall consumption Table cost wise consumption for LT consumer in the month of September 2012 Appliance ID clothe washer 32.4 dryer+iron 39.6 fans+cooler 144 lights Cost Volume 4, Issue 1, January 2015 Page 77

4 others 64.8 pump 43.2 refrigeration 54 TV+ Computer water heater Figure cost wise consumption for LT consumer in the month of September 2012 Table cost wise consumption for LT consumer in the month of October 2012 Appliance ID Cost clothe washer 69 dryer+iron 80.5 fans+cooler 276 lights 184 others 115 pump refrigeration TV+ Computer 299 water heater Figure cost wise consumption for LT consumer in the month of October 2012 Table cost wise consumption for LT consumer in the month of November 2012 Appliance ID Cost clothe washer dryer+iron fans+cooler lights Volume 4, Issue 1, January 2015 Page 78

5 others pump refrigeration TV+ Computer water heater 61 Overall result 1188 Figure cost wise consumption for LT consumer in the month of November 2012 Appliance wise consumption for six months in kwh for LT consumer The krishna Murty consumption pattern for six months by appliance wise and analyzed the month wise conparision application ID cloths washer Dryer + iron Fans + cooler lights others pump Refrig erator Tv + computer water heate r overall result Sep Oct Nov Monthly peak wise consumption for LT consumer The consumer can visualize every month power consumption sliced into the MID PEAK,OFF PEAK and ON PEAK and can perform what if analysis on moving from the on peak load to off peak load. it will be direct saving to consumers in TOU Tariff and reduce the demand supply mismatch. Krishna Murty Can login to consumer energy portal and he can do the different types of analysis. Table monthly peak wise consumption LT consumer for six months peak category Mid peak off peak on peak Overall Volume 4, Issue 1, January 2015 Page 79

6 KWH KWH KWH result Sep Oct Nov Overall result Figure monthly peak wise consumption LT consumer for six months Table monthly peak wise consumption in the month of September 2012 Peak category kwh Mid peak 102 Off peak 47 On peak 41 Overall result 190 LT Consumer - krishna moorty 25% 21% 54% Mid peak Off peak On peak figure monthly peak wise consumption in the month of September 2012 Table monthly peak wise consumption in the month of October 2012 Peak category kwh Mid peak 154 Off peak 53 On peak 13 Overall result 220 Volume 4, Issue 1, January 2015 Page 80

7 LT Consumer - krishna moorty 24% 6% 70% Mid peak Off peak Table monthly peak wise consumption in the month of October 2012 Table monthly peak wise consumption in the month of november 2012 Peak category kwh Mid peak 132 Off peak 55 On peak 21 Overall result % LT Consumer - krishna moorty 26% 64% Mid peak Off peak Figure monthly peak wise consumption in the month of november 2012 Daily- Month peak wise consumption for LT consumer Daily data provides enough details for consumers to relate day- to- day activities to electricity usage.examples include vacation days,holyday events,working days versus non working days,extreme weather days versus mild days and so on. Only the days that are unusual stand out and those are the days the consumer care about.krishna Murty Can login to consumer s energy portal and he can do the different types of analysis. Daily- month peak wise consumption in the month of September 2012 Volume 4, Issue 1, January 2015 Page 81

8 Day Table Daily- month peak wise consumption in the month of October 2012 Mid peak off peak on peak Overall result Overall ResuLT Volume 4, Issue 1, January 2015 Page 82

9 Hour wise consumption for LT customer Hour wise consumption instantly knowing through consumer energy portal and also HAN automatically control the power consumption with help of smart appliances. The consumer can visualize the load pattern of the power consumption and take necessary action. Krishna Murty can logon to consumer s energy portal and he can do the different types of analysis. Figure hourly daily consumption in the month of sept.2012 Hourly-daily consumption in the month of nov TOU tariff calculation for LT consumer Power companies charges consumers different prices for electricity on the basis of the time of use the electricity used so that it will encourages consumers to shift some of their electricity uses to lower cost,non peak hours many consumers able to reduce their electric bills and also reduce stress on the electricity generation and transmission infrastructure. In the LT case study by seeing these reports he can able to shift the small amount of peak load into mid peak and half peak and directly reduce the electricity bill in the TOU tariff compare to regular Tariff and in the following table will provides the net savings to Krishna Murty. Table TOU Tariff calculation monthly wise for LT consumer regular cost TOU cost net saving s Sep Oct Nov Overall result Volume 4, Issue 1, January 2015 Page 83

10 regular cost TOU cost net savings Figure TOU Tariff calculation monthly wise for LT consumer Table TOU month wise consumption month regular cost TOU cost net savings Sep Oct Nov Overall result regular cost TOU cost net savings 2.CONCLUSION Figure month wise TOU Tariff calculation cost wise for LT consumers It will reduce the demand supply mismatch, smart grids will be able to self heal, provide high reliability and power quality, be resistant to cyber attacks, operate with multi-directional power flow, increase equipment utilization, operate with lower cost and offer customers a variety of service choices. Smart appliances should be used in conjunction with smart grid for reducing the peak demand. Real time information feedback regarding peak load conditions sent to smart appliances at customer site. Reduced variability in consumption leads to lower breakdowns and lower operating costs. The different types TOU tariff can be designed by analyzing the different load patterns. Master data standardization can be developed for strong analysis. REFERENCES [1] A R Metke and R L Ekl, Security Technology for Smar Grid Networks, Smart Grid, IEEE Transactions on vol 1, pp , 2010 [2] T Sauter and M Lobasov, End-to-End Communication Architecture for Smart Grids, Industrial Electronics, IEEE Transactions on, vol 58, pp , 2011 [3] Z Ming-Yue, Transmission Characteristics of Low-VaoLTage Distribution Networks in China under the Smart Grids Environment, Power Delivery, IEEE Transactions on, vol 26, pp , 2011 [4] Z Pei L Fangxing and N Bhatt, Next Generation Monitoing, Analysis and Control for The Future Smart Control Centre, Smart Grid, IEEE Transactions on, vol 1, pp , 2010 Volume 4, Issue 1, January 2015 Page 84

11 [5] M Liserre, T Sauter and J Y Hung, Future Energy Systems : Integrating Renewable Enery Sources into the Smart Power Grid through Industrial Electronics, Industrial Electronics Magazine, IEEE, vol 4, pp , 2010 [6] D Y Raghavendra Nagesh, A Sowjanya, Dr S S Tulasiram, Real Time Decision Support for Energy Management Proceedings of the World Congress on Engineering 2008 Vol I Wce 2008, July 2-4, 2008, London, UK. Isbn : [7] R W Uluski, Interactions between AMI and Distribution Management System for Efficiency/Relaiability Improvement at a Typical Utility [8] Jian Wu, Yong Cheng, and Noel N., Overview of Real Time Database Management Systems Design for Power System SCADA System [9] Jim See, Wayne Carr, Pe, and Steven E. Collier, Real Time Distribution Analysis for Electric Utilities AUTHOR Arun Kumar Rath received his M. Tech Degree in Power Electronics and Drives from GIET, Gunupur under BPUT and UG from BPUT. A life time member of ISTE and also a life time member of SESI, IAENG & MIE. He working as a Asst. professor in EEE Department at Gandhi Institute of Engineering & Technology. He is having overall 11 years experience in Industrial and teaching fields. His interest areas are Power system engineering and Power Electronics & smart grid technologies Santosh Kumar Mallick, completed B.Tech from BPUT in the year and continuing M.Tech in Power Electronics and Drives from GIET, Gunupur under BPUT. A life time member of IAENG & AMIE.He is presently working as Sr.Lecturer in the Department of EEE at Gandhi Institute of Engineering & Technology.He is having 3 years teaching experience. His interest area is Power Electronics and Drives. Amrit Kumar Panigrahi, completed B.Tech from BPUT in the year and M.Tech in VLSI & Embedded System from KIIT University, Bhubaneswar in the year A life time member of AMIE.He is presently working as Asst. professor in the Department of EEE at Gandhi Institute of Engineering & Technology.He is having 3 years teaching experience. His interest area is VLSI 7 Embedded System. Volume 4, Issue 1, January 2015 Page 85