A Microgrid Simulation Platform Based on Cyber-Physical Technology

With the transformation of energy structure and the development of new power systems, higher requirements have been put forward for the performance and stability of microgrids. To adapt to the multi-information, multi-energy, and multi-business characteristics of microgrids, this paper proposes a cyber-physical system (CPS) based a microgrid simulation platform, which constructs an integration architecture composed of the physical system, main station system, and strategy simulation system. Through the interaction of information and energy businesses, real-time reproduction and state control of business scenarios are achieved. The platform innovatively introduces the theory of finite state machine (FSM) and designs a state transition strategy. Taking fault optimization as an example, the optimal path can be selected through state transition, and the system fault optimization effect is improved based on FSM. Compared to traditional methods, this platform reduces simulation time by 16% to 86.6%, significantly shortening scene reproduction time. In addition, the practical application value of the platform in fault optimization and operational efficiency improvement was verified by building a semi-physical simulation system based on a rapid control prototype (RCP) and hardware-in-the-loop testing (HIL).