Static voltage stability analysis of power grid based on comprehensive weight evaluation method and fuzzy-TOPSIS
DOI:10.7667/PSPC171641
Key Words:analytic hierarchy process (AHP) method  entropy weight method  Fuzzy-TOPSIS  voltage stability index  weak bus of voltage
Author NameAffiliationE-mail
WU Jiahui School of Electrical Engineering, Xinjiang University, Urumqi 830047, China  
WANG Weiqing School of Electrical Engineering, Xinjiang University, Urumqi 830047, China  
WANG Haiyun School of Electrical Engineering, Xinjiang University, Urumqi 830047, China 327028229@qq.com 
ZHANG Qiang State Grid Xinjiang Electric Power Research Institute, Urumqi 830011, China  
SONG Kunfeng State Grid Xinjiang Urumqi Electric Power Company, Urumqi 830011, China  
WANG Cuicui State Grid Xinjiang Urumqi Electric Power Company, Urumqi 830011, China  
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Abstract:The problems of voltage security and stability of power grid are becoming more and more prominent with the expansion of power grid and the complexity of structure construction. As a result, this paper discusses a new method for static voltage stability analysis. Firstly, in order to overcome the sidedness limitation of single-index system in the evaluation of voltage stability, six kinds of voltage stability indexes are combined. Secondly, an index weight optimization method is calculated based on uncertainty factor and a comprehensive evaluation method is used which combines analytic hierarchy process method and entropy method to calculate the weight values. Meanwhile, the aim of the optimization of weights coefficient is to maximize the value of the comprehensive evaluation and minimize the degree of deviation at the same time by using Lagrange conditioned extreme value method, and Fuzzy-TOPSIS is used to rank the results. Finally, taking Hami grid as a study case, both single index and comprehensive index for static voltage stability identification are compared to verify the effectiveness and objectivity of the proposed method. The obtained results can be used to provide basis for system operation scheduling and reactive power compensation. This work is supported by National Natural Science Foundation of China (No. 51667020), Key Laboratory Project of Xinjiang Uygur Autonomous Region (No. 2016D03021) and Doctoral Innovation Project (No. XJUBSCX-2015015).
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