DocumentCode
2603831
Title
Optimal configuration for capacity of distributed generation interconnected to distribution network based on improved
Author
Zifa, Liu ; Ziping, Wu ; Xiaoqiang, Xue ; Jianhua, Zhang
Author_Institution
North China Electr. Power Univ., Beijing, China
fYear
2009
fDate
6-7 April 2009
Firstpage
1
Lastpage
5
Abstract
In order to reduce the tremendous loss brought about by the overwhelming nature disasters on power supply system, the establishment of a certain amount of distributed generation systems at different level load nodes is taken into account in this paper. A multi-objective mathematical model considering construction investment, network loss as well as network deferred cost is proposed, and a type of improved differential evolution (IDE) algorithm is adopted to solve the model. From the test case of a standard IEEE 33-node system, simulation results show that reasonable planning of size and site of distributed generation sources is capable of decreasing the loss caused by major accidents on power grid.
Keywords
disasters; distributed power generation; electrical accidents; power distribution economics; power distribution planning; power grids; power system interconnection; IEEE 33-node system; accidents; construction investment; distributed generation source planning; distributed generation system interconnection; distribution network; improved differential evolution; load nodes; multiobjective mathematical model; natural disasters; network deferred cost; network loss; optimal configuration; power grid; power supply system; Accidents; Costs; Distributed control; Investments; Mathematical model; Power supplies; Power system interconnection; Power system modeling; Power system planning; System testing; Distribution network; differential evolution algorithm; distributed generation; islanded operation;
fLanguage
English
Publisher
ieee
Conference_Titel
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4934-7
Type
conf
DOI
10.1109/SUPERGEN.2009.5348240
Filename
5348240
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