改进遗传算法在含分布式电源的配电网规划中的应用

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Abstract A coordinated framework is established first between distribution network and distributed generation planning. The environmental benefits-award factor, as an improvement of the function, is introduced at the same time. In order to avoid the defects of easily getting into a local optimal solution, have more iteration number, high complexity of iteration decoding and long computing time in traditional algorithms, this paper proposes an improved genetic algorithm, which can iteration parallel and needs no process of decoding, based on a new matrix-code which combined the integer code of distributed generation with 0-1 code of the distribution network. At last, a simple restoration scheme that can revise the isolated chain, node and the closed loop all in once is put forward to make the grid into a connected and radial network. The comparison of the results from calculation of IEEE example shows that the proposed method is advanced and effective.

Key words： Distributed generation distribution network planning coordinated planning improved genetic algorithm matrix coding

Received: 19 April 2010 Published: 07 March 2014

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TM715

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	Ma Xiufan
	Cui Huanjun

Cite this article:

Ma Xiufan,Cui Huanjun. An Improved Genetic Algorithm for Distribution Network Planning With Distributed Generation[J]. Transactions of China Electrotechnical Society, 2011, 26(3): 175-181.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2011/V26/I3/175

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