基于改进化学反应优化算法的风/氢/燃并网系统功率平滑经济性评估

doi:10.19595/j.cnki.1000-6753.tces.161037

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Abstract This paper studies the capacity optimization of electrolyzer and fuel cell, and analyzes the economical evaluation of the wind/hydrogen/fuel cell grid-connected system, during the output smoothing process of the generated power of wind/hydrogen/fuel cell grid-connected system. Economical evaluation scheme for power smoothing of the wind/hydrogen/fuel cell grid-connected system is proposed, based on the improved chemical reaction optimization algorithm, according to the feature that particle swarm optimization algorithm and chemical reaction optimization algorithm complement each other. Taken the maximum profit as an objective, the objective function and its constraint condition are established, considering the subjected capacity of electrolyzer and fuel cell, environmental benefit, government subsidy and time value of capital. The objective function is solved using the improved chemical reaction optimization algorithm. According to the actual measured wind speed data obtained from Daan wind plant of Jilin province, sample calculation analysis is implemented. Compared with the chemical reaction optimization and particle swarm optimization algorithms, the proposed economical evaluation scheme has been evaluated.

Key words： Improved chemical reaction optimization algorithm (ICROA) wind/hydrogen/fuel cell grid-connected system electrolyzer fuel cell power smoothing economical evaluation

Received: 06 July 2016 Published: 30 October 2017

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TM744

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	Cai Guowei
	Kong Lingguo
	Xu Angxuan
	Li Zhenxin

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Cai Guowei,Kong Lingguo,Xu Angxuan等. Economical Evaluation of Wind/Hydrogen/Fuel Cell Grid-Connected System Power Smoothing Based on Improved Chemical Reaction Optimization Algorithm[J]. Transactions of China Electrotechnical Society, 2017, 32(20): 251-260.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.161037 OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I20/251

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