DocumentCode :
535738
Title :
Multiobjective optimal reconfiguration of MV networks with different earthing systems
Author :
Zizzo, Gaetano ; Sanseverino, Eleonora Riva ; Campoccia, Angelo
Author_Institution :
DIEET, Univ. of Palermo, Palermo, Italy
fYear :
2010
fDate :
Aug. 31 2010-Sept. 3 2010
Firstpage :
1
Lastpage :
6
Abstract :
The paper deals with the traditional problem of multiobjective optimal reconfiguration applied to power distribution systems considering the safety issue in the formulation. The applications are devoted to the solution of the posed problem in networks in which coexist energy sources with unearthed neutral point and resonant earthed neutral point. After a brief review of the most recent papers on optimal reconfiguration, the paper outlines the safety problem and provides a solution to the multiobjective problem using the Non dominated Sorting Genetic Algorithm II aiming at: minimal power losses operation, safety check at distribution substations and load balancing among the HV/MV transformers. Finally test results on a large MV distribution network are reported and discussed and a comparison between the Non dominated Sorting Genetic Algorithm II and a Fuzzy Evolution Strategy Algorithm is presented.
Keywords :
distribution networks; earthing; electrical safety; genetic algorithms; neutral currents; transformer substations; HV-MV transformers; MV distribution network; different earthing system; distribution substations; genetic algorithm; load balancing; multiobjective optimal reconfiguration; power distribution systems; power system safety; resonant earthed neutral point; unearthed neutral point; Algorithm design and analysis; Earth; Grounding; Load management; Power transformer insulation; Safety; Substations; Earthing Systems; Electrical Safety; Genetic Algorithms; Multiobjective Optimization; reconfiguration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference (UPEC), 2010 45th International
Conference_Location :
Cardiff, Wales
Print_ISBN :
978-1-4244-7667-1
Type :
conf
Filename :
5650109
Link To Document :
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