DocumentCode
2846715
Title
Optimal Microgrid Partition Strategy of Distribution Generation Based on Advanced GA
Author
Shi Zhang ; Dingwei Wang ; Xinran Xu ; Tingting Zhao
Author_Institution
Inst. of Syst. Eng., Northeastern Univ., Shenyang, China
Volume
2
fYear
2010
fDate
13-14 Oct. 2010
Firstpage
13
Lastpage
16
Abstract
It is widely focused on by the global researchers that distributed generation (DG) can enhance reliability of electric power system. The microgrid partition strategy is an important operation that can enhance reliability of electric power system. This paper presents an impact study on a DG connected to the distribution networks and proposes rooted tree to model DG island separation according to the radial structure. The advanced genetic algorithm and optimization 0-1 programming are then given for maximizing flexibility of network reconfiguration, which is to determine proper splitting points to split the entire interconnected distribution network into microgrids ensuring generation/load balance and satisfaction of transmission capacity constraints when microgrids are unavoidable. The verification of the microgrid partition strategy is proven with simulations on 7-bus and 23-bus test system.
Keywords
distributed power generation; genetic algorithms; power system reliability; 23- bus test system; 7-bus bus test system; advanced GA; advanced genetic algorithm; distribution generation; electric power system reliability; interconnected distribution network; island separation; network reconfiguration flexibility; optimal microgrid partition strategy; optimization 0-1 programming; transmission capacity constraints; Intelligent systems; distributed generation; genetic algorithm; intentional islanding; microgrid; power system; splitting strategy;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-8333-4
Type
conf
DOI
10.1109/ISDEA.2010.344
Filename
5743371
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