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Applications of VILLASframework

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It is actively developed by the Institute for Automation of Complex Power Systems.

Presented by Marija Stevic during ERIGrid - VILLAS workshop on 13th September 2018 at OFFIS, Oldenburg.

https://www.acs.eonerc.rwth-aachen.de
https://www.fein-aachen.org/projects/villas-framework/

Published in: Engineering
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Applications of VILLASframework

  1. 1. Applications of VILLASframework Geographically Distributed and Local Power System co- simulation Technical Workshop of the ERIGrid Project 13.09.2018 Oldenburg, Germany Prof. Antonello Monti
  2. 2. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 20182 Co-Simulation Interface Algorithm (IA) ■ Co-Simulation Interface Algorithm (IA) for geographically distributed real-time simulation (GD-RTS) ≡ Objectives: conservation of energy at the interface and interface transparency ≡ Violation of energy conservation at the interface is inherent problem in (geographically) distributed co- simulation due to the following = system decoupling (subsystems are solved separately) = communication medium (delay, delay variation, packet loss, limited data sampling… ≡ Co-simulation IA should preserve stability of the simulation and ensure simulation fidelity Violation of energy conservation in GD-RTS
  3. 3. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 20183 Co-simulation IA based on Dynamic Phasors ■ Co-Simulation IA for geographically distributed real-time simulation ≡ based on one of the most commonly employed IA for PHIL interfaces: ideal transformer model (ITM) = controlled current and voltage sources that impose in the local subsystem the behavior of the remote subsystem ≡ current and voltage interface quantities are exchanged between the simulators in the form of time-varying Fourier coefficients, known as dynamic phasors ≡ time clocks of the two simulators are synchronized to the global time ≡ dynamic phasor concept includes absolute time that enables time delay compensation based on the phase shift
  4. 4. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 20184 Example of Application of Co-Simulation Interface Algorithm based on Dynamic Phasors ■ ACS-SINTEF Distributed Real-Time Simulation Platform ≡ Real-time simulation of multi-terminal HVDC grids interconnected with AC grids and wind farms = Studies of potential interactions of the control concepts implemented in the AC grid generators and control strategies of converters ■ VSC-HVDC point to point link that connects two AC systems ≡ a case study to demonstrate applicability of the Internet- distributed simulation platform for simulation of HVDC grids ■ Simulation start ≡ System response after simulation start indicates high fidelity of geographically distributed simulation in steady state and during slow transients
  5. 5. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 20185 ERIC Lab Demonstration ■ Objectives of simulation scenario ≡ Real-time co-simulation of the interconnected transmission and distribution systems ≡ Studies of how different levels of distributed generation, EV penetration in the distribution system affect the system operation at both transmission and distribution levels ≡ Collaboration based on a virtual integration is particularly beneficial for this scenario = There is a need for large-scale power system simulation consisting of detailed simulation models of both transmission and distribution systems = Competences of different areas are required (transmission and distribution systems, consumer behavior patterns) = Confidentiality aspects of sharing data and models among operators is not an issue as only interface quantities at the decoupling point are exchanged ■ Overview of roles of laboratories ≡ Transmission system is simulated on RTDS system at RWTH, Germany ≡ Distribution system is simulated on OPAL-RT system at POLITO, Italy ≡ Prosumer behavior patterns are provided by JRC-Pettan, Netherland ≡ Monitoring based on a web-client in JRC-Ispra, Italy
  6. 6. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 20186 ERIC Lab Demonstration Overview
  7. 7. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 20187 ERIC Lab Demonstration Web Interface ■ Web interface for consolidated monitoring of simulation ≡ Conceptual layout (to the left) ≡ Technical layout (below)
  8. 8. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 20188 RT-Super Lab Transatlantic Distributed Test Bed ■ Objectives ≡ Establish a vendor-neutral distributed platform based on interconnections Digital Real- Time Simulators (DRTS), Power-Hardware-In-the-Loop (PHIL) and Controller-Hardware- In-the-Loop (CHIL) assets hosted at geographically dispersed facilities ≡ Demonstration of multi-lab real-time simulation and distributed PHIL and CHIL setup for simulation and analysis of next generation global power grids
  9. 9. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 20189 VILLASframework for RT-Super Lab ■ VILLASnode ≡ An instance of VILLASnode installed at every laboratory ≡ Gateway for connecting digital real-time simulators ≡ Interface to VILLASweb ■ VILLASweb ≡ Web interface for consolidated monitoring of the distributed simulation ≡ Web Server, Backend and Database hosted at INL for RT-Super Lab Demo ≡ Web interface is available within VPN for all participants
  10. 10. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201810 RT-Super Lab Demonstration ■ Leverage unique hardware assets located at different laboratories and academic institutions for simulation and testing of next generation interconnected grids ≡ 8 Labs = 5 OPAL-RT, 4 RTDS, 1 Typhoon ≡ 1 CHIL at USC ≡ Communication network emulation based on Apposite N-91 ≡ 2 PHIL = NWTC Controllable Grid Interface (CGI) interfaced to the GE 1.5 MW wind turbine = Test Bed for PV inverters ≡ Simplified transatlantic HVDC interconnection of transmission systems in the U.S. and Europe
  11. 11. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201811 RT-Super Lab Participants Laboratory Simulation model / HIL setup Subsyste m IDFull Name Acronym Idaho National Laboratory INL Western Systems Coordinating Council (WSCC); HVDC converter station ss1 National Renewable Energy Laboratory NREL PHIL for wind turbines ss5 Sandia National Laboratories SNL PHIL for PV inverters ss6 Colorado State University CSU IEEE 13-bus distribution test feeder ss4 University of South Carolina USC Modified IEEE 123-bus distribution system, CHIL, communication emulation ss7 Washington State University WSU Simplified CERTS microgrid ss8 RWTH Aachen University RWTH European transmission network benchmark model (CIGRÉ); HVDC converter station ss2 Politecnico di Torino POLITO European distribution network benchmark model (CIGRÉ); ss3 NationalLabsUSuniversitiesEUuniversities
  12. 12. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201812 RT-Super Lab Simulation results #1 ■ Activation of CHIL at USC ≡ PV inverters controlled to minimize reactive power at the substation of IEEE 123-bus system ■ Simulation results at ss1-ss7 co-simulation interface (INL-USC) ≡ Decrease in reactive power at co-simulation (substation) bus !"# $"# Simulation results at ss1-ss7 co-simulation interface (INL-USC)
  13. 13. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201813 RT-Super Lab Simulation results #2 ■ Flow of power from INL to RWTH via HVDC ■ Power in the HVDC link is decreased by 25 MW ≡ Generators at WSCC (INL) respond ≡ System frequency at INL increases !"# ∆% ss1-ss2 co-simulation interface (INL-RWTH)
  14. 14. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201814 RT-Super Lab Simulation results #3 ■ Frequency support from a wind turbine ≡ Over frequency event on account of over-generation ■ Wind turbines respond based on droop settings ≡ Negative sign indicates import to INL from NREL ∆" Simulation results at ss1-ss5 #$% ∆#(∆")
  15. 15. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201815 Local Power System co-simulation Interconnection of RTDS and OPAL-RT at ACS lab ■ Hard real-time communication ■ Synchronized execution of simulation time steps RTDS Rack next to OPAL-RT OP5600 RTDS rear panel: GPC cards OP5600 rear panel: internal fiber connection to ML605 SFP port RTDS racks OPAL-RT OP5600
  16. 16. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201816 Models Transmission: Benchmark Network for DERs testing (by CIGRé) ■ High Voltage Transmission Network Benchmark – European Configuration ≡ 13 buses, 4 generators ≡ 220 and 380 kV, 50 Hz ≡ Simulated on RTDS
  17. 17. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201817 Models Distribution: Benchmark Network for DERs testing (by CIGRé) ■ Simulated on OPAL-RT ■ Medium Voltage Distribution Network Benchmark – European Configuration ≡ 14 buses ≡ 2 feeders ≡ 2 transformers ≡ 46 MVA contractual load ≡ Different PV penetration levels: = 6 % = 20 %
  18. 18. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201818 TN & DN interactions Simple Demonstration: Scenario ■ The loss of generator 2 at bus 3 of TN causes a voltage drop in neighbouring buses and, consequently, the disconnection of PVs in DN (details represented) connected to bus 4.
  19. 19. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201819 TN & DN interactions Simple Demonstration: Interface values ≡ Currents and voltages measured at the interface point on the two simulators. = Instantaneous voltages decrease after G2 disconnection = Interface accuracy is guaranteed also during transients
  20. 20. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201820 TN & DN interactions Simple Demonstration: Results ≡ In this scenario, the Italian LVRT capability allows most of the PVs to stay connected in the detailed DN: = Using co-simulation, new LVRT curves and different placement for PV plants can be analysed with regard to the voltage security after an event in the transmission network.
  21. 21. E.ON Energy Research Center Mathieustraße 10 52074 Aachen Germany Prof. Antonello Monti, Ph. D. T +49 241 80 49703 F +49 241 80 49709 amonti@eonerc.rwth-aachen.de http://www.eonerc.rwth-aachen.de Contact
  22. 22. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201822 Co-simulation IA based on Wave Variables ■ Co-Simulation IA for locally distributed real-time simulation and connection of labs within a campus (InFIS) ≡ Deterministic time-delay ≡ Higher degree of simulation fidelity required for higher system dynamics = to leverage advanced test benches ≡ Filters or dynamic phasors should not be used ■ Co-simulation IA based on wave variables ≡ Wave variables are often used in bilateral teleoperation ≡ Wave variables directly ensure passivity Application of wave variables for co-simulation IA
  23. 23. Prof. Antonello Monti, Ph. D. | ERIGrid workshop | September 201823 Example of Application of Co-Simulation Interface Algorithm based on Wave Variables ■ VSC-HVDC point to point link that connects two AC systems ≡ Decoupling point: DC cable ■ Distributed simulation with co-simulation IA based on ITM is not stable ≡ for time delay > 50$% ≡ Filters must be used to ensure stability ■ Distributed simulation with co-simulation IA based on wave variables is stable ≡ Filters do not have to be used ≡ Simulation fidelity is of higher degree DC current at the interface for co-simulation IA based on wave variables DC current at the interface for co-simulation IA based on ITM and filters

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