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
Link To Document :
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