Abstract：In order to prevent cascading failures and large-scale blackouts, it is important to monitor the operating state variations of power systems. Based on the real-time monitoring information, an identification model for moving trends of the power system operating states is proposed in this paper, which allows the system operators vividly identify the unsafe condition and continuously monitor the distance between the real state and unsafe state as well as the direction and speed of the operating state trends. Fuzzy analytic hierarchy process (FAHP) is employed to evaluate the operating state. The trends of the generated indicator are identified by qualitative trend analysis (QTA), from which dynamic trends of the whole system can be easily obtained. Simulation results show that the proposed model can effectively identify the moving trends of the power system operation states. It can be applied to monitor and assess the level of security operation of power system.
王涛, 张尚, 顾雪平, 贾京华. 电力系统运行状态的趋势辨识[J]. 电工技术学报, 2015, 30(24): 171-180.
Wang Tao, Zhang Shang, Gu Xueping, Jia Jinghua. Trends Identification of Power System Operating States. Transactions of China Electrotechnical Society, 2015, 30(24): 171-180.
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