Flexible Time-Stepping Dynamic Emulation of AC/DC Grid for Faster-Than-SCADA Applications

Dynamic simulation of the integrated AC/DC grids plays a crucial role in the energy control center. In this work, a faster than supervisory control and data acquisition (FT-SCADA) emulation based on flexible time-stepping (FTS) algorithm is proposed for the energy control center to predict and mitigate the impacts after serious disturbances using field-programmable gate arrays (FPGAs). To gain a high acceleration over SCADA/real-time, the FTS-based dynamic emulation is applied to the AC grid, which is the IEEE 118-bus system where a $9^{th}$-order synchronous machine model is adopted. Meanwhile, the electromagnetic transient (EMT) emulation revealing the exact performance of the DC grid provides an insight into the impact on its AC counterpart. A power-voltage interface is inserted between the AC and DC grids since distinct emulation strategies are utilized, and the EMT-dynamic co-emulation is able to run concurrently on FPGA boards due to their massive parallelism. Three case studies are emulated to demonstrate the efficacy of the proposed algorithm, and a minimum of 101 times faster-than-SCADA/real-time can be achieved. Hence, following the occurrence of a disturbance, the FT-SCADA/RT emulator will generate an optimal solution in advance to maintain the stability of the hybrid AC/DC grid. The results of the FTS-based FT-SCADA/RT emulation are validated by the off-line transient stability simulation tool TSAT of the DSATools suite.

[1]  Renchang Dai,et al.  Transmission Technologies and Implementations: Building a Stronger, Smarter Power Grid in China , 2020, IEEE Power and Energy Magazine.

[2]  Sukumar Kamalasadan,et al.  Measurement-Based Wide-Area Damping of Inter-Area Oscillations based on MIMO Identification , 2019, ArXiv.

[3]  S. Aksoy,et al.  Pseudospectral Time Domain Method Implementation Using Finite Difference Time Stepping , 2018, IEEE Microwave and Wireless Components Letters.

[4]  Tomasz Haupt,et al.  A Relaxation-Based Network Decomposition Algorithm for Parallel Transient Stability Simulation with Improved Convergence , 2018, IEEE Transactions on Parallel and Distributed Systems.

[5]  Bri-Mathias Hodge,et al.  An Extended IEEE 118-Bus Test System With High Renewable Penetration , 2018, IEEE Transactions on Power Systems.

[6]  Kazutoshi Kobayashi,et al.  An accurate metric to control time step of transient device simulation by matrix exponential method , 2017, 2017 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD).

[7]  Goran Strbac,et al.  Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids , 2017, IEEE Transactions on Smart Grid.

[8]  Wuhua Li,et al.  Average-Value Model of Modular Multilevel Converters Considering Capacitor Voltage Ripple , 2017, IEEE Transactions on Power Delivery.

[9]  Zhenyu Huang,et al.  Comparative Implementation of High Performance Computing for Power System Dynamic Simulations , 2017, IEEE Transactions on Smart Grid.

[10]  M. Barnes,et al.  Improved Accuracy Average Value Models of Modular Multilevel Converters , 2016, IEEE Transactions on Power Delivery.

[11]  Michael Starke,et al.  Parareal in Time for Fast Power System Dynamic Simulations , 2016, IEEE Transactions on Power Systems.

[12]  Venkata Dinavahi,et al.  Extended Kalman Filter-Based Parallel Dynamic State Estimation , 2016, IEEE Transactions on Smart Grid.

[13]  Juri Jatskevich,et al.  A Multi-Decomposition Approach for Accelerated Time-Domain Simulation of Transient Stability Problems , 2015, IEEE Transactions on Power Systems.

[14]  Joe H. Chow,et al.  Measurement and Modeling of Delays in Wide-Area Closed-Loop Control Systems , 2015, IEEE Transactions on Power Systems.

[15]  Jian Yao,et al.  An efficient time step control method in transient simulation for DAE system , 2014, 2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS).

[16]  Gonzalo Abad,et al.  Modular Multilevel Converter With Different Submodule Concepts—Part I: Capacitor Voltage Balancing Method , 2013, IEEE Transactions on Industrial Electronics.

[17]  V. Dinavahi,et al.  Instantaneous Relaxation-Based Real-Time Transient Stability Simulation , 2009, IEEE Transactions on Power Systems.

[18]  V. Dinavahi,et al.  A versatile cluster-based real-time digital simulator for power engineering research , 2006, IEEE Transactions on Power Systems.

[19]  J. Shu,et al.  A parallel transient stability simulation for power systems , 2005, IEEE Transactions on Power Systems.

[20]  K. Morison,et al.  Power system security assessment , 2004, IEEE Power and Energy Magazine.

[21]  Zhou Xiaoxin,et al.  Parallel algorithms for transient stability simulation on PC cluster , 2002, Proceedings. International Conference on Power System Technology.

[22]  Mario A. Bochicchio,et al.  A distributed computing approach for real-time transient stability analysis , 1997 .

[23]  J.J. Sanchez-Gasca,et al.  Variable time step, implicit integration for extended-term power system dynamic simulation , 1995, Proceedings of Power Industry Computer Applications Conference.

[24]  Mariesa L. Crow,et al.  The parallel implementation of the waveform relaxation method for transient stability simulations , 1990 .

[25]  J. Van Ness,et al.  Simulation of a Multiprocessor Network for Power System Problems , 1982, IEEE Transactions on Power Apparatus and Systems.