利用抹香鲸算法改进电容器库布局优化

O. Ivanov, B. Neagu, G. Grigoraș, M. Gavrilas
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引用次数: 2

摘要

随着消费模式的变化和零售电力市场的扩展,传统的需求模式发生了变化,配电网的运行状况变得更加复杂。随着城市附近工业平台活动的减少和住宅用户数量的增加,为大型住宅社区供电的高负荷中压和低压配电网络对电压补偿和损耗管理的需求越来越大。使用电容器组进行无功补偿仍然是解决这一问题的一种经济有效的解决方案。本文利用最近提出的元启发式抹香鲸算法(SWA),提出了一种改进的中压配电网损耗降低方法,该方法使用电容器组的最佳位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capacitor Banks Placement Optimization Improvement Using the Sperm Whale Algorithm
The operating conditions in electricity distribution networks become more complex, as the changes in consumption patterns and the extension of retail electricity markets change the traditional demand patterns. As the industrial platforms near cities reduce their activity and the number of residential customers grows, there is an increasing need for voltage compensation and loss management in highly loaded MV and LV distribution networks supplying large residential communities. VAR compensation using capacitor banks remains a cost-effective solution for this problem. This paper presents an improved method for loss reduction in MV distribution networks, using an optimal placement of capacitor banks, with a recently proposed metaheuristic, the Sperm Whale Algorithm (SWA).
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