基于改进人工鱼群算法的冷热电联产微网经济优化运行

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Abstract Considering various distributed power generation costs, environmental costs and micro-grid equipment maintenance costs,To meet the constraints of micro-grid operation, optimization of the different micro-grid distributed power and energy storage system power output, make the system's total operating costs are minimized.Combined cooling heating and power (CCHP) use into micro-grid can effectively improve the micro-grid distributed power efficiency, thereby improving its economy.Finally, use artificial fish swarm algorithm (AFSA) through matlab numerical calculation tool to verify the econimy of a micro-grid model contain CCHP.

Key words： micro-grid economical operation combined cooling heating and power (CCHP) distributed generation artificial fish swarm algorithm(AFSA)

Published: 11 June 2014

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	Li Rui
	Li Peng

Cite this article:

Li Rui,Li Peng. Economical Optimal Operation of CCHP Micro-grid System Based on Improved Artificial Fish Swarm Algorithm[J]. Electrical Engineering, 2014, 15(06): 63-68.

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http://dqjs.cesmedia.cn/EN/Y2014/V15/I06/63

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