Short circuit current limiting strategy optimization based on sensitivity analysis

被引：0

作者：

Yang, Dong ^{[1
]}

Zhou, Qinyong ^{[2
]}

Liu, Yutian ^{[3
]}

机构：

[1] State Grid Shandong Electric Power Research Institute, Ji'nan

[2] China Electric Power Research Institute, Beijing

[3] Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Ji'nan

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2015年 / 35卷 / 05期

关键词：

Analytic hierarchy process; Fuzzy comprehensive evaluation; optimization algorithm; Particle swarm; Sensitivity analysis; Short circuit current limiting; Short circuit currents;

D O I：

10.16081/j.issn.1006-6047.2015.05.018

中图分类号：

学科分类号：

摘要：

With the consideration of mutual restriction between short circuit current limiting and system stability improvement, a method of short circuit current limiting strategy optimization based on sensitivity analysis is proposed. The influence of current limiting measure on the impedance matrix element is analyzed and the sensitivity relationship between the current limiting measure and the self-impedance of node with over-current is derived, based on which, a branch selection strategy considering the sensitivity of current limiting measure is proposed. With the minimum total investment cost and the minimum short circuit capacity margin as the objectives, the adaptive hybrid particle swarm optimization algorithm is adopted to obtain the current limiting strategy set. A comprehensive evaluation model is established based on the analytic hierarchy process and the fuzzy comprehensive evaluation algorithm is applied to realize the systematic and quantitative decision-making for the current limiting set. The simulative results of a practical system show that the optimal current limiting strategy can be quickly obtained. ©, 2015, Electric Power Automation Equipment Press. All right reserved.

引用

页码：111 / 118

页数：7

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