基于成本和效益分析的并网光储微网系统电源规划

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Abstract With the rapid development of micro-grid, the generation planning has an important guiding significance for micro-grid construction. This paper proposes a micro-grid generation planning method for grid-connected micro-grid system with photovoltaic (PV) and battery energy system, based on the cost/benefit analysis theory. A micro-grid generation planning model with the goal of maximum lifecycle net profit is established in this paper, considering PV subsidy policy and two-part time-sharing electricity price. Three algorithms including particle swarm (PS) algorithm, AFSA and quantum genetic algorithm are used to solve the model. Thanks to the simulation test based on the real data in Shanghai, the planning results and the economic benefits of the micro-grid system are obtained by three optimal algorithms. The simulation results show the PS algorithm has advantages in solving the generation planning model of micro-grid.

Key words： Micro-grid generation planning cost/benefit analysis particle swarm algorithm

Received: 19 December 2015 Published: 28 July 2016

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TM715

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	Articles by authors
	Han Xiaojuan
	Wang Lina
	Gao Tong
	Xiu Xiaoqing

Cite this article:

Han Xiaojuan,Wang Lina,Gao Tong等. Generation Planning of Grid-Connected Micro-Grid System with PV and Batteries Storage System Based on Cost and Benefit Analysis[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 31-39.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I14/31

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