Application of Genetic Algorithm and Analytical Method to Determine the Appropriate Locations and Capacities for Distributed Energy System

B. Saka, Jacob Tsado, V. Kiray, S. Hussein
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引用次数: 0

Abstract

In this study, the genetic algorithm (GA) and an analytical technique are used to properly connect the distributed energy system (DES) to the distribution network of the Federal Capital Territory (FCT). A power flow solution is used to obtain the losses and voltages assigned to the chromosomes as the fitness value for the GA to determine the best locations for the DES. Subsequently, the analytical method is used to calculate the capacities of the DES, corresponding to each location obtained using the GA. The effectiveness of the technique is examined on IEEE 33 and 69 buses, and the results demonstrate a loss reduction of 69.19%, the least voltage of 0.975 pu for the 33-node, and a 70.22% loss reduction with the least voltage of 0.985 pu for the 69-node. The suggested technique is applied to the FCT distribution network, and the results show a 70% voltage improvement and 14.05% loss reduction.
应用遗传算法和分析方法确定分布式能源系统的适当位置和容量
本研究采用遗传算法(GA)和分析技术,将分布式能源系统(DES)与联邦首都区(FCT)的配电网络进行适当连接。利用功率流解决方案获得分配给染色体的损耗和电压,作为遗传算法的适应值,以确定 DES 的最佳位置。随后,使用分析方法计算出与利用 GA 获得的每个位置相对应的 DES 容量。在 IEEE 33 和 69 总线上检验了该技术的有效性,结果表明 33 节点的损耗降低了 69.19%,最低电压为 0.975 pu;69 节点的损耗降低了 70.22%,最低电压为 0.985 pu。建议的技术被应用于 FCT 配电网络,结果显示电压提高了 70%,损耗降低了 14.05%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
12
审稿时长
18 weeks
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