考虑需求侧响应及不确定性的微电网双层优化配置方法

doi:10.19595/j.cnki.1000-6753.tces.170388

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Abstract Microgrid is an effective form for renewable energy application. Optimal sizing and operation is the key issue to guarantee the economy and stability of the microgrid system. With the increase of DC loads, AC-DC hybrid microgrid has become a current research hotspot. This paper focuses on the two-layer optimal sizing of AC-DC hybrid microgrid considering the optimization of distributed generation operation. The intermittency and uncertainty of renewable energy generation have been analyzed. Demand-side response is introduced to optimize load characteristics by guiding customers to change electric consuming behavior. Accordingly, the microgrid system is more stable and economical. The non-dominated sorting genetic algorithm (NSGA-II) combined with mixed integer linear programming (MILP) is adopted to solve the multi-objective optimization model based on a practical project. The results verify the rationality and validity of the proposed approach.

Key words： Microgrid AC-DC hybrid uncertainty demand-side response two-layer optimization genetic algorithm optimal sizing

Received: 05 April 2017 Published: 27 July 2018

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TM73

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	Zhao Bo
	Wang Xiangjin
	Zhang Xuesong
	Zhou Jinhui

Cite this article:

Zhao Bo,Wang Xiangjin,Zhang Xuesong等. Two-Layer Method of Microgrid Optimal Sizing Considering Demand-Side Response and Uncertainties[J]. Transactions of China Electrotechnical Society, 2018, 33(14): 3284-3295.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.170388 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I14/3284

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