RT15 Berkeley | Multi-Terminal Power Hardware-in-the-Loop Test-Bench for Power System Stability Analyses Focused on Distributed Generation - Fraunhofer
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The document discusses the development of a multi-terminal power hardware-in-the-loop test bench for power system stability analyses focused on distributed generation. Large increases in inverter-coupled generators like PV and wind are changing power networks, challenging assumptions of conventional stability assessment. The test bench aims to holistically simulate transmission and distribution networks to evaluate stability with more inverter-based generation. It will integrate real inverters using power hardware-in-the-loop simulations to verify their influence on stability at a higher level of detail than software models alone.
RT15 Berkeley | Multi-Terminal Power Hardware-in-the-Loop Test-Bench for Power System Stability Analyses Focused on Distributed Generation - Fraunhofer
- 1. © Fraunhofer IWES Slide -1- Ron Brandl Project: DEAstabil Multi-Terminal Power Hardware-in-the-Loop Test-Bench for Power System Stability Analyses Focused on Distributed Generation RT15 Berkeley, CA | 13 - 14 June, 2015 Authors: Ron Brandl, Fraunhofer IWES Dominik Geibel, Fraunhofer IWES
- 2. © Fraunhofer IWES Slide -2- Ron Brandl, Project: DEAstabil Multi-Terminal PHIL Test Bench for Power System Stability Analyses Content 1. Introduction 2. Power System Stability (PSS) 3. Simulation Environment 4. Hardware Environment 5. Power Hardware-in-the-Loop (PHIL) Simulation 6. Conclusion
- 3. © Fraunhofer IWES Slide -3- Ron Brandl Project: DEAstabil 1. Introduction Motivation Large increase in inverter-coupled generating units In Germany over 50% of power generation is from PV and wind at certain times Change of future network Loss of spinning reserves Decentralization of power production Future mix of power plant park will be inverter-dominated Power system stability (PSS) has to be assured Transformation to inverter-dominated networks 0 10000 20000 30000 40000 50000 60000 70000 80000 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 ProductioninMW Conventional Production > 100MW Wind Solar 18th April 2013 in Germany
- 4. © Fraunhofer IWES Slide -4- Ron Brandl Project: DEAstabil 2. Power System Stability Conventional PSS Focused on rotating generators Rotor angle stability Frequency stability Voltage stability Reconsideration of conventional stability assessment Source: Definition and Classification of Power System Stability, IEEE/CIGRE Joint Task Force, P. Kundur et. al. Definition of Stability
- 5. © Fraunhofer IWES Slide -5- Ron Brandl Project: DEAstabil 2. Power System Stability Factors for network imbalance Failure/blackout of central power plants large loads transmission line HVDC terminals Switching operations on transmission network Weather influence Change of active coupling points of the interconnection to boundary networks Scenarios for different PSS disturbances
- 6. © Fraunhofer IWES Slide -6- Ron Brandl Project: DEAstabil 2. Power System Stability
- 7. © Fraunhofer IWES Slide -7- Ron Brandl Project: DEAstabil 3. Simulation Environment Intention of new simulation platform Holistic simulation of transmission and distribution network for stability studies Include dynamics of decentralized generators in the distribution network Ability to conduct real-time simulations, esp. PHIL simulations Evaluation of the future needs of the power system, with increasing inverter-based generation, on a scientific basis Motivation
- 8. © Fraunhofer IWES Slide -8- Ron Brandl Project: DEAstabil 3. Simulation Environment German interconnection network Holistic stability analyses required >> 100.000 nodes and machines from high voltage down to low voltage level Handling Aggregated models of distribution networks with dynamic behaviors Development of models ≤ 110 kV which are scalable and containing the influence of distribution generators Verification of network models based on available data of real network disturbance Dynamic Model of Distribution Networks
- 9. © Fraunhofer IWES Slide -9- Ron Brandl Project: DEAstabil 3. Simulation Environment Benefits/Summary Advantage Use of self-made simulation models Access to calculation equations and simulation routine Challenges Development of a holistic interconnection network simulation Real-time capability and compatibility with real-time products Parallel simulation on different cores is necessary, due to high numbers of nodes General Benefits Flexibility total access for developer possible Scalability Level of detail user defined Expansion to new research fields
- 10. © Fraunhofer IWES Slide -10- Ron Brandl Project: DEAstabil 4. Hardware Environment Laboratory Test bench Power Hardware-in-the-Loop test bench Development, construction and operation of PHIL test Bench Demonstration of the contribution of distributed generators (DER) to power system stability in a laboratory environment Verification of the influence of power- stabilizing control method from inverter- based generators by coupling real-time simulations with larger transmission and distribution networks
- 11. © Fraunhofer IWES Slide -11- Ron Brandl Project: DEAstabil 4. Hardware Environment Laboratory (under preparation) Systec Laboratory, Fraunhofer IWES Power Hardware-in-the-Loop test bench Ametek, Power amplifier, 3x 3phase 90 kVA (single/parallel operation) Scienlab, DC-source (battery emulator), 290 kW TriPhase, DC-DC-AC inverter, 2x 15 kVA
- 12. © Fraunhofer IWES Slide -12- Ron Brandl Project: DEAstabil 5. Power Hardware-in-the-Loop Simulation Benefits/Summary Intention of Power Hardware-in-the-Loop simulation Integration of „black box“ devices for stability support (e.g. converters) Level of detail increased due to use of the real hardware in comparison to software models All effects of the hardware can be monitored
- 13. © Fraunhofer IWES Slide -13- Ron Brandl Project: DEAstabil 5. Power Hardware-in-the-Loop Simulation Network Simulation Scheme German interconnection network Transmission level 2.000 nodes 1.000 machine Distribution level Aggregated models 4.500 active nodes 4.000 machines Connection point HUT Current feedback circuit
- 14. © Fraunhofer IWES Slide -14- Ron Brandl Project: DEAstabil 5. Power Hardware-in-the-Loop Simulation Simulation platform Controlled execution Higher-ranked phasor simulation Transmission network simulation Adaption/Integration of self-made models Classified aggregated distribution network Distributed generator Wind park Photovoltaic system CHPs HVDC link …
- 15. © Fraunhofer IWES Slide -15- Ron Brandl Project: DEAstabil 6. Conclusion Summary Summary Reconsideration of power system stability Focusing of inverter-dominated generators in future Creating of holistic network simulation for stability analyses Scenarios of conventional PSS Research of new/upcoming PSS Power Hardware-in-the-Loop Laboratory Test – “Black Box” or self-programmed inverter testing Outlook Network simulation for stability studies Development of new control strategies for DER Advanced test platform for DER
- 16. © Fraunhofer IWES Slide -16- Ron Brandl Project: DEAstabil Thanks for your attention Ron Brandl Fraunhofer Intitute of Wind Energy and Energy System Technologies Koenigstor 59 34119 Kassel/Germany Ron.Brandl@iwes.fraunhofer.de Acknowledgement We acknowledge the support of our work by the German Ministry for the Environment, Nature and Nuclear Safety and the Projekträger Jülich within the project “DEA-Stabil: Beitrag der Windenergie und Photovoltaik im Verteilungsnetz zur Stabilität des deutschen Verbundnetzes” (FKZ 0325585).