Probabilistic Optimization Method for Pilot-Bus Selection and Network Partitioning of AC/DC System

doi:10.11930/j.issn.1004-9649.202004166

Abstract

Abstract: To ensure higher voltage control ability of regional power supply to the converter bus, a probabilistic optimization method for pilot-bus selection and network partitioning of AC/DC system is proposed in this paper. Through load equivalence of converter station, the typical node power scenarios of source-load-converter station are simulated. With consideration of the reactive power partitioning balance demand under the node power variation of source-load-converter station, an optimization model is established considering the controllability of the coupling bus of AC/DC system, and is solved by the immune genetic algorithm. As a result, the voltage control ability of the regional power to converter station is further improved. A simulation analysis is conducted on an IEEE 39 bus system, and the result verifies the effectiveness of the proposed method.

Key words: pilot-bus, network partitioning, voltage and reactive power control, AC/DC system, probability optimization method

YAN Wei, YANG Biao, MO Jingshan, ZHOU Youbin, WANG Tao, XIAO Fan. Probabilistic Optimization Method for Pilot-Bus Selection and Network Partitioning of AC/DC System[J]. Electric Power, 2020, 53(8): 77-84.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202004166

https://www.electricpower.com.cn/EN/Y2020/V53/I8/77

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