基于纳什平衡的贴装磁体网络微电网优化尺寸

Liaqat Ali, H. Bizhani, S. Muyeen, A. Ghosh
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引用次数: 9

摘要

本文提出了一种基于多目标帝国竞争算法(ICA)的博弈论系统优化技术,以设计并网模式下的网络化微电网。所选择的网络化微电网由两个不同的共负荷和共电网并网的微电网组成,可能具有不同的风力发电机组、光伏板和电池等发电资源组合。为了实现网络化微电网的有效规模划分,提出了一种基于纳什均衡的博弈论,其中发电系统的评级被视为参与者,年利润被视为回报。此外,为了满足均衡点,并在不同的参与者之间的联盟中找到最优的发电资源规模,使用MATLAB软件实现了优化应用中经常使用的ICA。最后,为了验证结果,研究了电价和贴现率的敏感性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal sizing of a networked microgrid using Nash equilibrium for mount magnet
In this paper, a technique of game theory is proposed based on a multi-objective imperialistic competition algorithm (ICA) for system optimization in order to design a networked microgrid in grid-connected mode. The selected networked microgrid, which consists of two different grid-connected microgrids with common load and grid, might have different combinations of generation resources including wind turbine, photovoltaic panels and batteries. To perform the effective sizing of networked microgrid, a Nash equilibrium based game theory is developed in which the rating of the generation systems is considered as players and annual profit as payoff. Moreover, in order to meet the equilibrium point and find the optimum sizes of generation resources in different coalitions between players, ICA, which is being frequently used in optimization applications, is implemented using MATLAB software. Finally, in order to validate the results, the sensitivity analysis is studied to examine the impact of electricity price and discount rates.
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