基于约束多目标免疫算法的畸变配电网电容器组优化配置

H. N. Alves
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引用次数: 1

摘要

提出了一种畸变配电网中电容器组优化配置的多目标算法。提出了一种约束多目标免疫算法。在优化过程中,采用电压分布约束来定义可行解。该解决方案考虑了投资成本、电力和能源损失成本以及谐波缓解。提出了一个104总线测试系统,并将结果与SPEA-II和NSGA-II方法给出的解决方案进行了比较。结果证明了该方法的有效性,为解决配电网中复杂的规划问题提供了良好的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal placement of capacitor banks in distorted electrical distribution network based on a constrained multi-objective immune algorithm
This paper presents a multi-objective algorithm for optimal placement of capacitor banks in distorted electrical distribution networks. A constrained multi-objective immune algorithm is proposed. The voltage profile constraints are used to define feasible solutions in the optimization process. Investments costs, power and energy losses costs and harmonic mitigation are considered in the solution. A 104-bus test system is presented and the results are compared to the solution given by a SPEA-II and a NSGA-II approach. The results confirm the efficiency of the proposed method which makes it promising to solve complex problems of planning in distribution feeders.
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