计及风光电源的一种地区电网电动汽车充电调度方法

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Abstract According to the extensive development of plug-in electric vehicles(PEVs) and renewable resources, such as wind power and photovoltaic power, an approach for PEVs charging scheduling in regional power grids considering the uncertain outputs of wind and photovoltaic power is proposed. Firstly, in order to reduce the difference between the peak and the valley for equivalent load and purchasing power cost, a multi-objective non-linear mixed integer optimization model for PEVs charging scheduling is established. Secondly, the fuzzy theory is introduced to this paper to fuzzy the output of wind power and photovoltaic power. Therefore, the multi-objective fuzzy optimization model is reformulated as a single objective non-linear optimization problem. Finally, the data of example on regional power grid is analyzed to prove to the validity of model and the feasibility of solving for problems with improved particle swarm algorithm. An effective way is provided for the optimal dispatch of PEVs.

Key words： Plug-in electric vehicles(PEVs) wind and photovoltaic power fuzzy theory particle swarm optimization

Received: 29 May 2012 Published: 28 November 2013

PACS:	TM711
	TM715

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	Zhang Xueqing
	Liang Jun
	Zhang Li
	Yu Dayang
	Han Xueshan
	Zhang Feng
	Zhang Xi

Cite this article:

Zhang Xueqing,Liang Jun,Zhang Li等. Approach for Plug-in Electric Vehicles Charging Scheduling Considering Wind and Photovoltaic Power in Chinese Regional Power Grids[J]. Transactions of China Electrotechnical Society, 2013, 28(2): 28-35.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2013/V28/I2/28

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