期刊
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
卷 9, 期 2, 页码 316-327出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.35833/MPCE.2020.000052
关键词
Cogeneration; Power system dynamics; State estimation; Pipelines; Real-time systems; Combined heat and power system (CHPS); cubature Kalman filter (CKF); heat dynamics; multi-time-scale asynchronous distributed scheme; real-time state estimation (RTSE)
资金
- Science and Technology Project of State Grid Corporation of China [52060019001H]
This paper proposes a distributed real-time state estimation method for combined heat and power systems, which significantly improves estimation efficiency, protects system privacy, and enhances scalability for large-scale systems.
This paper proposes a distributed real-time state estimation (RTSE) method for the combined heat and power systems (CHPSs). First, a difference-based model for the heat system is established considering the dynamics of heat systems. This heat system model is further used along with the power system steady-state model for holistic CHPS state estimation. A cubature Kalman filter (CKF)-based RTSE is developed to deal with the system nonlinearity while integrating both the historical and present measurement information. Finally, a multi-time-scale asynchronous distributed computation scheme is designed to enhance the scalability of the proposed method for large-scale systems. This distributed implementation requires only a small amount of information exchange and thus protects the privacy of different energy systems. Simulations carried out on two CHPSs show that the proposed method can significantly improve the estimation efficiency of CHPS without loss of accuracy compared with other existing models and methods.
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