基于真实值文化算法的分布式能源最优发电输电系统成本最小化

T. Som, N. Chakraborty
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引用次数: 5

摘要

本文对印度某场景下组成电力输送系统的分布式能源网络进行了经济评估。数学分析基于实值文化算法(RVCA)的应用。rvca评估了利用太阳能和燃料电池作为DERs以及电池储能系统的输电网络的年总成本。以印度电力系统为例,分析了以最小成本为目标的电力运行优化问题。第一种情况是用户个人最优运行的分布式电网,第二种情况是用户与分布式电网的最优供电组成微电网。这两种情况的年总费用在经济上具有竞争力,在向小地方提供可靠电力的情况下是令人鼓舞的。在印度的一个小地区,与单独运行的消费者€™系统相比,在微型系统的情况下,年成本降低了约4.3%。可以观察到,RVCA在功率优化中的应用降低了总成本,从而改善了能源经济的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cost Minimization of Power Delivery Systems by Optimal Power Generation from Distributed Energy Resources Using Real Valued Cultural Algorithm
An economic estimation of a network of distributed energy resources (DERs) forming a power delivery system in an Indian scenario has been made. The mathematical analysis is based on the application of real valued cultural algorithm (RVCA). The RVCA-evaluated total annual cost for power delivery networks has been obtained utilizing both solar and fuel cells as DERs along with a battery energy storage system. The analyses for optimal power operation pertaining to minimum cost have been made by considering two cases in Indian power delivery system. The first case deals with the consumers’ individual optimal operation of DERs, while in the second one, the consumers form a microgrid with the optimal supply of power from DERs. The total annual costs for these two cases are found to be economically competitive and encouraging in the context of supplying reliable power to a small locality. A reduction of approximately 4.3% in the annual cost has been obtained in the case of microgid system than that in the separately operating consumers’ system for a small locality of India. It is observed that the application of RVCA in power optimization results in a reduction of total cost depicting an improved outcome in terms of energy economy.
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