DocumentCode :
1797680
Title :
Islanding partition of the distribution system with distributed generations based on Memetic algorithm
Author :
Ke Sun ; Weihui Shao ; Zhiyu Xu ; Weisheng Xu
Author_Institution :
Coll. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
fYear :
2014
fDate :
15-17 Nov. 2014
Firstpage :
197
Lastpage :
201
Abstract :
A new scheme for the islanding partition of the distribution system with distributed generations (DGs) is proposed in this paper. A bi-objective optimization model is built; the fixed weight approach, fuzzy membership function and Memetic algorithm are employed to solve the islanding problem. The simulations on the American PG&E 69-node distribution system show that the results obtained from the new model and Memetic algorithm can converge to an acceptable result rapidly, and the islands formed by the results possess better power quality than the single objective optimization case. The results of the case study demonstrate that an islanding scheme with good power quality can be obtained by the proposed model and algorithm after the fault occurred in the distribution system.
Keywords :
distributed power generation; optimisation; power distribution faults; power supply quality; American PG&E 69-node distribution system; biobjective optimization model; distributed generations; fixed weight approach; fuzzy membership function; islanding partition; memetic algorithm; power quality; Cost function; Islanding; Memetics; Partitioning algorithms; Power quality; Sociology; Memetic Algorithm; distributed generation(DG); islanding partition; multi-objective optimization; power flow calculation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Informatics (ICSAI), 2014 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-5457-5
Type :
conf
DOI :
10.1109/ICSAI.2014.7009285
Filename :
7009285
Link To Document :
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