基于遗传算法优化分配固定电容器和开关电容器的配电系统能量损耗降低

A. Salehinia, M. Haghifam, M. Shahabi, F. Mahdloo
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引用次数: 4

摘要

配电系统中一个值得注意的主要问题是损耗,它会造成电能的损失。在这方面,在配电系统的一次和二次网络中放置固定和可切换电容器可以减少能量和峰值功率损失,并改善馈线中的电压分布。本文提出了一种变负荷配电系统中固定电容器与可切换电容器同时分配的新方法。作为优化过程中的成本函数,考虑了能量损失成本、电容器的安装和购买成本以及峰值功率损失成本。优化算法采用了新的编码算子和遗传算法。所提出的基于ga的方法的一个重要特点是提供了在各种负载下分配电容器的开关表。在许多情况下对该方法进行了测试并与其他方法进行了比较,结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy loss reduction in distribution systems using GA-based optimal allocation of fixed and switched capacitors
One of the notable and major problems in distribution systems is the losses, which causes energy loss. In this respect, placing fixed and switchable capacitors in the primary and secondary networks of distribution systems can reduce the energy and peak power losses and improve the voltage profile in the feeder. In this paper, a novel method for simultaneous allocation of fixed and switchable capacitors in distribution systems with varying load is presented. As a cost function in optimization procedure, cost of energy loss, installation and purchase costs of capacitors and cost of peak power loss are considered. For optimization algorithm, GA with new coding and operators are used. One of the significant characteristics of the proposed GA-based method is providing the switching table for allocated capacitors in various loading. The proposed method was tested and compared with other methods in many cases with satisfactory results.
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