考虑节能减排的多目标模糊机会约束动态经济调度

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Abstract Intermittent powers connected to the grid bring about significant economic and emission reduction benefits.But their uncertainty outputs cause new problems to the grid dynamic economic dispatch.In order to solve this problem,a multi-objective fuzzy chance constrained dynamic economic dispatch model with intermittent powers considering energy saving and emission reduction is proposed.Firstly the fuzzy characteristics of the prediction errors in different power prediction regions are analyzed and then the distribution parameters are fitted.Thus the fuzzy membership functions of the intermittent powers’ output and the load are obtained.Secondly,different fuzzy chance constraints with different measures for different system constraints are considered with the fuzzy theory.A multi-objective fuzzy chance constrained dynamic economic dispatch model considering operating expenses and CO₂ and SO₂ emissions is then established.To solve the model,the multiple objectives are transformed into a single objective through defining the objective membership function and the product convex fuzzy decision,the chance constraints are turned into their clear equivalent forms using clear equivalent,and an improved firefly optimization algorithm is used.The feasibility and the effectiveness of the proposed model and algorithm are verified by the analysis of the case.

Key words： Intermittent power energy saving and emission reduction dynamic economic dispatch fuzzy chance constrained programming firefly algorithm

Received: 04 May 2015 Published: 21 January 2016

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TM71

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	Liu Wenxue
	Liang Jun
	Yun Zhihao
	Li Zhengmao
	Dong Xiaoming

Cite this article:

Liu Wenxue,Liang Jun,Yun Zhihao等. Multi-objective Fuzzy Chance Constrained Dynamic Economic Dispatch Considering Energy Saving and Emission Reduction[J]. Transactions of China Electrotechnical Society, 2016, 31(1): 62-70.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I1/62

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