考虑电压稳定性的混沌萤火虫算法的最优潮流

Yun Tonce Kusuma Priyanto, Vicky Mudeng, Muhammad Robith
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引用次数: 1

摘要

在交通运输技术方面,电动汽车发展迅速。在未来,电力的可用性是至关重要的,因为每一个电动工具都需要电力。发电厂必须为包括电动汽车在内的所有消费者提供电力。电力传输和分配的可持续性必须被认为是至关重要的,因为它在社区的高耗电量。供电的问题之一是如何保持系统的电压稳定。负载模式和拓扑结构上的一些变化可能导致对系统的严重不良影响。然而,发电成本必须考虑到公用事业运营商。本文介绍了一种最近发展起来的元启发式算法——混沌萤火虫算法(CFA)。我们的模拟表明,该方法可能比几种知名的元启发式方法性能更好。因此,在考虑电压稳定的情况下,CFA可能成为求解最优潮流的一种有前途的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Power Flow with Considering Voltage Stability using Chaotic Firefly Algorithm
In transportation technology, the development of electric vehicle is growing rapidly. In the future, the availability of electrical power is crucial because every electric tool needs electrical power. Power plant must provide electrical power for all consumer include an electric vehicle. Sustainability of electrical power transmission and distribution must be considered as critical due to its high power consumption in the community. One of the problem to supply electrical power is how to keep the system’s voltage stability. Several variations on the load pattern and topological can lead to a substantial poor impact on the system. However, generation cost must be considered by utilities’ operator. This paper demonstrates a recently developed metaheuristic method called Chaotic Firefly Algorithm (CFA). Our simulation shows that this method may perform better than several well-known metaheuristic methods. Therefore, CFA may become a promising method to solve optimal power flow considering voltage stability cases.
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