基于元启发式算法的低压配电网相负荷平衡

O. Ivanov, B. Neagu, M. Gavrilas, G. Grigoraș, C. Sfintes
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引用次数: 18

摘要

在罗马尼亚的电力分配系统中,工业用电量显著减少,而居民用电需求却在增加。小型分布式发电源开始在居民区使用,它们在几十年前设计的网络中运行。在缺乏优化的电网相位用户分配的情况下,这些发展可能导致低压配电网的高相位不平衡,增加有功功率损耗和电压质量差。本文提出了一种采用遗传算法的平衡方法,其目的是在24小时的间隔内使有功功率损耗最小化。该方法在罗马尼亚实际低压配电网中进行了智能计量负荷数据的测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phase Load Balancing in Low Voltage Distribution Networks Using Metaheuristic Algorithms
In the Romanian electricity distribution systems, the industrial consumption has significantly reduced, while the residential demand is increasing. Small-scale Distributed Generation sources are beginning to be used in residential areas, and they are operated in networks designed decades ago. In the absence of optimized consumer allocation on the network’s phases, these developments can lead to high phase unbalances in low voltage distribution networks, with increased active power losses and poor voltage quality. This paper presents a balancing approach that uses a Genetic Algorithm with the aim of minimizing the active power losses over an interval of 24 hours. The method is tested in a real Romanian low voltage distribution network with Smart Metering load data.
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