Building A Resilient and Secure Power Grid A UCF Microgrid Demo

Transcription

1 Building A Resilient and Secure Power Grid A UCF Microgrid Demo Wei Sun, Assistant Professor of Zhihua Qu, Professor & Chair of ACE Conference December 4 th, 2017

2 Cascading Failures 2003 U.S. Northeast Blackout Motivations Aging Infrastructure Super Bowl XLVII blackout Natural Disasters Florida Power Outage during Hurricane Irma Cyber Intrusions Cyberattack on Ukraine Power Grid

3 Goals and Objectives Goal: A self-healing and Secure Smart Grid!

4 Minimum Budget ($K) Recovery from Disaster Resilience of electric grids under extreme weather conditions 1) Model extreme weather threats Rural Damage /Circuit Mile MinCritical Load Served

5 Restoration Decision Support System (RDSS) An Automatic and Adaptive Restoration Decision Support (RDS) Tool Harnessing Renewable, Storage and Microgrid for Restoration Distributed Distribution Automation and Selfhealing (FLISR) Monitoring and Protection Cyber-Physical System Security Real-time Hardware-inthe-loop (HIL) Simulation

6 Integrated T&D Restoration with DERs Restoration Decision Support System (RDSS) Distributed Distribution Service Restoration Integrated T&D Restoration with DG Scheduling

7 Secure and Resilient Control CPS Designs CPS Control over network 1) Nonlinear Dynamic Coding 2) Cloud Publishing 3) Synthetic Anchors

8 Testbed and Validation MGMS Siemens Microgrid Management System (MGMS) Software UCF Campus Microgrid System CHP unit, PV panels Battery storage system, EVs Substations, switches, sensors, etc. MGMS One-line Diagram Real-world data and Forecasting Optimization and Scheduling Economic or Green

9 Testbed and Validation MGMS Siemens Microgrid Management System (MGMS) Software

10 Testbed and Validation SDFA Siemens Distribution Feeder Automation (SDFA) Model system components (e.g., circuit breaker, re-closer, feeder, set NOP) Different fault triggering scenarios Simulation of fault isolation & clearing, and open transition restoration schemes Upload from Feeder Automation Sequence Editor (FASE) to SDFA

11 Testbed and Validation OPAL-RT Hardware-in-the-loop (HIL) Testing Accurately executes real time simulator Power system protection and restoration adapting to sudden changes in system conditions based on Q-Learning and MAS Test the wind-connected distribution system protection and restoration strategy on IEEE 9-bus system

12 Testbed and Validation TI Testbed Self-Evolving Micro-Grid A full set of laboratory experiments are available for several smart grid courses, covering smart meters, inverters, data concentrator, communication, control, protection, and other topics. 12

13 Power UCF Faculty Zhihua Qu Cooperative control of networked systems Distributed optimization Marwan Simaan Optimization of dynamic systems Game theory Winston Schoenfeld Wide band gap materials Nanophotonics device Azadeh Vosough Communication Wireless networks Robert Reedy Electric utility operations & design Grid integration of PV systems Issa Batarseh Power electronics Solar energy conversion Aleksandar Dimitrovski Power system protection High performance computing Wei Sun Power system restoration Self-healing smart grid Qun Zhou Energy forecasting and power economics Data analytics in power system Junjian Qi Cascading failure Cybersecurity Kristopher Davis Photovoltaics Optical and electronic materials Qifeng Li Convex optimization Nonlinear systems

14 Power UCF Research Advanced controls of networked systems Cyber-physical security Data analytics and electricity market Microgrids Integration of renewable resources Optimization of complex systems PV modules and systems Public policy of resilient energy systems Resilient infrastructure systems Transportation and smart city

15 Power UCF Curriculum EEL 3290 Global Energy Issues (Introduction to Renewable Energy) EEL 4205 Electric Machinery EEL 4216 Fundamentals of Electric Power Systems EEL 4294 Introduction to Smart Grids MSE/EEL4xxx Introduction to PV EEL 5245 Power Electronics I EEL 5255 Advanced Power Systems Analysis EEL 5268 Communications and Networking for Smart Grid EEL 5291 Distributed Control and Optimization for Smart Grid EEL 5xxx Power System Economics EEL 6208 Advanced Machines EEL 6246 Power Electronics II EEL 6269 Advanced Topics in Power Engineering EEL 6272 Smart Power Grids Protection EEL 6674 Data Analytics in Power System EEL 6xxx Power System Resilience EEL 6938 Power System Reliability EEL 6xxx Power System Detection and Estimation

16 Power UCF Lab/Facilities Siemens Digital Grid Lab HEC 302

17 Power UCF Lab/Facilities Architecture Opal-RT connected with multiple hardware for realtime digital simulation and HIL testing Key Specifications Opal-RT (CPU 3.46 GHz, 12 core, red hat linux intel C compiler & optimized real-time kernel, 32 static digital I/O channels, 16 analog I/O channels, HIL controller Interface emegasim and ephasorsim licenses, IRIG/ GPS Synchronization board, Diver IEC61850 and C37.118) PMU (National Instruments Advanced PMU Development System) PDC integration (SEL 3373), protection relays (SEL 411-L), Ethernet switches, etc. Amplifier (Omicron CMs 356 current amplifier) Applications Real-time digital simulation and control prototyping for power grids, power electronics, model validation, optimization, frequency and power control, real-time simulation of microgrid systems, protection relays testing, etc.

18 Power UCF Lab/Facilities Interdisciplinary Research Building I: RISES Cluster spaces

19 Power UCF FEEDER Center FEEDER (Foundations for Engineering Education for Distributed Energy Resources) A DoE-funded center led by UCF 12 universities 17 utility 10 industrial companies 2 national labs High penetration of solar and other renewables (Southeast, TX, CA, and Hawaii)

20 DOE ENERGISE Project Project Overview Scalable/Secure Cooperative Algorithms and Framework for Extremely-high Penetration Solar Integration (SolarExPert) - DoE The Enabling Extreme Real-Time Grid Integration of Solar Energy (ENERGISE) Program

21 DOE ENERGISE Project Core Components and Specs Distributed Control and Optimization PV/Load Forecasting and Stochastic Analysis Distributed Stochastic OPF Distributed Active Power Control Distributed System State Estimation Δt 1 hours or day Δt minutes Distributed Service Restoration Distributed Reactive Power Control Δt seconds μpmu Measurements Δt ms Physical System t Distribution Load Flow Year 1 10,000-node system Year 2 100,000-node system Year 3 1,000,000-node system Advanced Models and Parallel Computing Software Simulation, HIL Testing, and Real-World Network Validation

22 Thanks! Q&A