building a resilient and secure power grid a ucf microgrid demo · 2017-12-07 · building a...
TRANSCRIPT
ECE
Building A Resilient and Secure Power Grid
–A UCF Microgrid Demo
Wei Sun, Assistant Professor of ECE
Zhihua Qu, Professor & Chair of ECE
ACE Conference
December 4th, 2017
ECEMotivations
Cascading Failures 2003 U.S. Northeast Blackout
Aging InfrastructureSuper Bowl XLVII blackout
Natural DisastersFlorida Power Outage during
Hurricane Irma
Cyber IntrusionsCyberattack on Ukraine Power Grid
ECE
Goal: A self-healing and Secure Smart Grid!
Goals and Objectives
ECE
Damage /Circuit Mile
Min
imum
Bud
get ($
K)
Min Critical Load Served
Rural
1) Model extreme weather threats
Resilience of electric grids under extreme weather conditions
Recovery from Disaster
ECE
An Automatic and Adaptive
Restoration Decision
Support (RDS) Tool
Harnessing Renewable,
Storage and Microgrid for
Restoration
Distributed Distribution
Automation and Self-
healing (FLISR)
Monitoring and Protection Real-time Hardware-in-
the-loop (HIL) Simulation
Restoration Decision Support System (RDSS)
Cyber-Physical System
Security
ECEIntegrated T&D Restoration with DERs
Restoration Decision
Support System (RDSS)
Distributed Distribution
Service Restoration
Integrated T&D Restoration with DG Scheduling
ECE
CPS Control over network 1) Nonlinear Dynamic Coding
2) Cloud Publishing 3) Synthetic Anchors
Secure and Resilient Control CPS Designs
ECETestbed 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
ECETestbed and Validation – MGMS
Siemens Microgrid Management System (MGMS) Software
ECETestbed 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
ECETestbed 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
ECE
12
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.
Testbed and Validation – TI Testbed
ECE
Zhihua Qu
Cooperative control of networked
systems
Distributed optimization
Marwan Simaan
Optimization of dynamic systems
Game theory
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
Azadeh Vosough
Communication
Wireless networks
Robert Reedy
Electric utility operations & design
Grid integration of PV systems
Issa Batarseh
Power electronics
Solar energy conversion
Junjian Qi
Cascading failure
Cybersecurity
Qifeng Li
Convex optimization
Nonlinear systems
Winston Schoenfeld
Wide band gap materials
Nanophotonics device
Kristopher Davis
Photovoltaics
Optical and electronic materials
Power Program @ UCF – Faculty
ECE
• 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
Power Program @ UCF – Research
ECE
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
Power Program @ UCF – Curriculum
ECE
Siemens Digital Grid Lab – HEC 302
Power Program @ UCF – Lab/Facilities
ECE
• Architecture
Opal-RT connected with multiple hardware for real-
time 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.
Power Program @ UCF – Lab/Facilities
ECE
Interdisciplinary
Research Building I:
RISES Cluster spaces
Power Program @ UCF – Lab/Facilities
ECE
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)
Power Program @ UCF – FEEDER Center
ECE
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
DOE ENERGISE Project
ECE
Core Components and Specs
Distribution Load Flow
Distributed Active Power Control
Distributed Reactive Power Control
Distributed Stochastic OPF
Distributed System State Estimation
Distributed Service Restoration
PV/Load Forecasting and Stochastic Analysis
Physical System
Distributed Control and
Optimization
μPMU MeasurementsΔt0≈ 10-100 ms
Δt1 ≈ hours or day
Δt2 ≈ 1-5 minutes
Δt3 ≈ 0.1-1 seconds
Year 110,000-node system
Year 2100,000-node system
Year 31,000,000-node system
Advanced Models and Parallel Computing
Software Simulation, HIL Testing, and Real-World Network Validation
t
DOE ENERGISE Project
ECE
Thanks!
Q&A