基于模糊期望值模型的配电网网架规划

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Abstract In traditional distribution network planning, uncertain planning parameters is difficult to deal with. To study further this problem, load forecast values is taken into account and the credibility theory and uncertain programming is introduced into it. Then a distribution network planning model is presented, which is based on fuzzy expected value model. The optimal solution is found using genetic algorithm. In this model, trapezoidal fuzzy variable is used to represent load predictive value. Moreover, the objective function and constraints of the model possess definite mathematical meaning, and the solution can be found by the strict mathematical approach. This model overcomes the defects of traditional distribution network planning model, such as, neglects the fuzziness of the load forecasting results or constructed fuzzy optimal planning model has no obvious mathematical meaning. An example illustrates that comparing to the traditional distribution network planning, the grid planning result obtained by this method is more adaptable to the uncertainty of the load in the future.

Key words： Distribution network planning fuzzy programming credibility theory fuzzy expected value model fuzzy power flow genetic algorithm

Received: 11 September 2009 Published: 07 March 2014

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TM715

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	Articles by authors
	Yang Yi
	Wei Gang
	Zhou Bing
	Zhang Xin

Cite this article:

Yang Yi,Wei Gang,Zhou Bing等. Distribution Network Planning Based on Fuzzy Expected Value Model[J]. Transactions of China Electrotechnical Society, 2011, 26(4): 200-207.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2011/V26/I4/200

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