Faster-Than-Real-Time Hardware Emulation of Transients and Dynamics of a Grid of Microgrids

作     者：Cao, Shiqi Lin, Ning Dinavahi, Venkata 

作者机构：Univ Alberta Dept Elect & Comp Engn Edmonton T6G 2V4 AB Canada 

出 版 物：《IEEE OPEN ACCESS JOURNAL OF POWER AND ENERGY》 (IEEE Open Access J. Power Energy)

年 卷 期：2023年第10卷

页      面：36-47页

核心收录：

基　　金：Natural Sciences and Engineering Research Council of Canada (NSERC) 

主　　题：Real-time systems Microgrids Computational modeling Hardware Emulation Field programmable gate arrays Power system stability Battery energy storage system doubly fed induction generator dynamic simulation electromagnetic transients faster-than-real-time field programmable gate arrays hardware emulation hardware-in-the-loop simulation microgrids parallel processing photovoltaic array predictive control real-time systems transient stability simulation wind turbine 

摘      要：Enhanced environmental standards are leading to an increasing proportion of microgrids (MGs) being integrated with renewable energy resources in modern power systems, which brings new challenges to simulate such a complex system. In this work, comprehensive modeling of a grid of microgrids for faster-than-real-time (FTRT) emulation is proposed, which can be utilized in the energy control center for contingencies analysis and dynamic security assessment. Electromagnetic transient (EMT) modeling is applied to the microgrid in order to reflect the detailed device processes of the converter and renewable energy sources, while the AC grid utilizes the transient stability modeling to reduce the computational burden and obtain a high acceleration value over real-time execution. Consequently, a dynamic power injection interface is proposed for the coexistence of the two simulation types. The reconfigurability and parallelism of the field-programmable gate arrays (FPGAs) enable the whole system to be executed in FTRT mode with 51 times acceleration over real-time. Meanwhile, three case studies are emulated and the results are validated by the off-line simulation tool Matlab/Simulink (R).