Intelligent decision support algorithm for distribution system restoration

被引：2
|
作者：
Singh, Reetu [1 ]
Mehfuz, Shabana [2 ]
Kumar, Parmod [3 ]
机构：
[1] Jamia Millia Islamia, Delhi, India
[2] Jamia Millia Islamia, Dept Elect Engn, Delhi, India
[3] Maharaja Agrasen Inst Technol, IRD, Delhi, India
来源：
SPRINGERPLUS | 2016年 / 5卷
关键词：
Distribution system; Fuzzy logic; Grey system theory; Power system restoration; Transformer loading; SERVICE RESTORATION; RELATIONAL ANALYSIS; LOSS REDUCTION; EXPERT-SYSTEM; FUZZY; RECONFIGURATION;
D O I：
10.1186/s40064-016-2810-4
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Distribution system is the means of revenue for electric utility. It needs to be restored at the earliest if any feeder or complete system is tripped out due to fault or any other cause. Further, uncertainty of the loads, result in variations in the distribution network's parameters. Thus, an intelligent algorithm incorporating hybrid fuzzy-grey relation, which can take into account the uncertainties and compare the sequences is discussed to analyse and restore the distribution system. The simulation studies are carried out to show the utility of the method by ranking the restoration plans for a typical distribution system. This algorithm also meets the smart grid requirements in terms of an automated restoration plan for the partial/full blackout of network.
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页数：16
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