DocumentCode
541303
Title
Random-neighbor-search based optimal planning for distribution networks with wind power
Author
Wan Zhendong ; Cheng Haozhong ; Yao Liangzhong ; Wan Zhigang ; Yu Guoqin
Author_Institution
Sch. of Electron., Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2010
fDate
13-16 Sept. 2010
Firstpage
1
Lastpage
7
Abstract
With the continuous effort of exploiting wind energy, a higher penetration of wind power will be integrated into networks in the form of distributed generation. In order to well plan the integration of wind power and the network, the randomness of wind power as well as its influence to the whole distribution networks should be considered. As a result, traditional optimal planning approach for distribution networks should be modified and supplemented. In the first part of the paper, a detailed analysis for wind power characteristic and its influence to distribution network planning were discussed. In the second part, through variation of sampling wind power and load, the chance-constrained model of distribution networks was introduced. At last, an improved algorithm based on random-neighbour-search was proposed to implement optimal planning for distributional network structure. The results of case study show the feasibility of the proposed algorithm.
Keywords
distributed power generation; distribution networks; power distribution planning; power generation planning; wind power plants; chance-constrained model; distributed generation; distribution network planning; distribution network structure; optimal planning; random-neighbor-search; wind energy; wind power; Electricity; Generators; Load flow; Load modeling; Planning; Wind power generation; Wind speed; Distribution Network; Planning; Random Model; Random-Neighbor-Search Algorithm; Wind Power;
fLanguage
English
Publisher
ieee
Conference_Titel
Electricity Distribution (CICED), 2010 China International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4577-0066-8
Type
conf
Filename
5736011
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