Quantitative Decision-Making Model for Distribution System Restoration

被引:81
作者
Chen, Wen-Hui [1 ]
机构
[1] Natl Taipei Univ Technol, Grad Inst Automat Technol, Taipei 106, Taiwan
关键词
Analytical hierarchy process (AHP); fuzzy systems; grey relational analysis (GRA); performance index; service restoration; SERVICE RESTORATION; EXPERT-SYSTEM; FUZZY;
D O I
10.1109/TPWRS.2009.2036811
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Distribution system restoration is a process of finding backup feeders to restore the load in out-of-service zones by switching operations. A feasible restoration plan must satisfy some practical objectives under operational constraints. Since there may be a tradeoff between objectives, and decision preferences vary from one situation to another, how to evaluate and choose a suitable restoration plan under system emergency has become a real challenge in modern power system operation. Conventional approaches can find feasible restoration plans but fail to identify their relative performance as it is unable to make a quantitative comparison among them. In this paper, we propose a quantitative evaluation framework for ranking restoration plans with their performance indexes, using the analytical hierarchy process-based fuzzy-grey approach. Experimental results showed that the proposed method was effective and helpful in assisting operators during the restoration process.
引用
收藏
页码:313 / 321
页数:9
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