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作者机构:College of Electrical and Information Engineering Hunan University Changsha410000 China Department of Electrical and Computer Engineering Baylor University WacoTX76798-7356 United States
出 版 物:《IFAC-PapersOnLine》
年 卷 期:2018年第51卷第28期
页 面:197-202页
核心收录:
基 金:This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 51520105011 in part by the Huxiang Youth Talent Program of Hunan Province under Grant 2015RS4022 and in part by the Excellent Innovation Youth Program of Changsha of China under Grant KQ 1707003
主 题:Electric power transmission networks Phasor measurement units Renewable energy resources System stability Estimation algorithm Estimation results Frequency deviation Inertia Integration levels Power system stability Renewable energy generation Renewable generation
摘 要:The increase of renewable energy generations and HVDC links with low or zero inertia will affect the dynamic behavior of power systems and stability margins. The inertia characteristics of power system is a critical factor for the analysis of the system dynamic stability when subjected to disturbances. To meet the increasing integration level of the renewable energy resources in the future, this paper proposes an inertia estimation algorithm to analyze both the regional and global inertia characteristics of power systems. It is found that the inertia estimation results are highly related to several factors, such as the grid structure, the inertia time constant of synchronous generators and the grid-interface location of the electronics, which also reveal the impact of a multi-terminal DC (MTDC) system connection. The effectiveness of the proposed method is verified and demonstrated for three networks by the simulations in the DigSILENT/PowerFactory environment. © 2018