Multi-objective optimal allocation of TCSC for a power system for wind power and load randomness

被引：0
|
作者：
Liu W. [1 ]
Zhang T. [1 ]
Yang X. [2 ]
Tao H. [2 ]
机构：
[1] College of Electrical Engineering and New Energy, China Three Gorges University, Yichang
[2] State Grid Jiaxing Power Supply Company, Jiaxing
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2023年 / 51卷 / 05期
基金：
中国国家自然科学基金;
关键词：
ATC; load randomness; scenario; TCSC; voltage stability indicator L; wind power;
D O I：
10.19783/j.cnki.pspc.220615
中图分类号：
学科分类号：
摘要：
To gain improvement in both available transmission capacity (ATC) and voltage stability, a flexible AC transmission system (FACTS) multi-objective optimization allocation method considering wind power and load randomness is proposed. First, based on the combination of Latin hypercube, k-means clustering and Monte Carlo sampling, a method for generating system scenarios is proposed. Then, a thyristor-controlled series capacitor (TCSC) multi-objective optimal allocation model with ATC and voltage stability L indicator as objective functions is established. Finally, the multi-objective particle swarm algorithm (MOPSO) is improved by adding chaos initialization and variable inertia weight setting to analyze the model. Based on a modified IEEE30 node system, the non-inferior solutions and fuzzy optimal solutions before and after TCSC allocation of the system scenario with the greatest occurrence probability are compared. The optimization results before and after TCSC allocation of the extreme system scenario are analyzed. The simulation results show that the proposed scenario processing method, the multi-objective optimization model and the improved algorithm are effective in solving related problems. © 2023 Power System Protection and Control Press. All rights reserved.
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页码：58 / 69
页数：11
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