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A Study of Electricity Market Dynamics Using Invasive Weed Colonization Optimization

机译:使用侵入性杂草殖民定期优化研究电力市场动态

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A method based on the novel optimization algorithm of Invasive Weed colonization Optimization (IWO) is used to study electricity market dynamics. Dynamics of such a multi agent system is analyzed using aspects both from Game theory and IWO. The method is integrated with a power system simulator to consider all the constraints of a realistic power system to make sure that the results are reliable. The IWO has also been introduced briefly and it is discussed why this method is supposed to be appropriate in such problems. Several simulation studies are presented to show how the method works. These outputs are compared with what exist in the literature. It is shown that making use of search based optimization algorithms such as IWO is necessary for consideration of all the constraints and details.
机译:一种基于侵入性杂草殖民定期优化(IWO)的新优化算法的方法用于研究电力市场动态。使用博弈论和IWO的方面分析了这种多代理系统的动态。该方法与电力系统模拟器集成,以考虑逼真的电源系统的所有约束,以确保结果是可靠的。 IWO也简要介绍,讨论了原因这种方法应该适合在这些问题中。提出了几项模拟研究以展示该方法的工作原理。将这些输出与文献中存在的。结果表明,在考虑所有约束和细节所需的基于搜索的优化算法中使用诸如IWO的基于搜索优化算法。

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