基于KGMO的SVC多目标优化分配与无功调度

Pradeep Panthagani, R. S. Rao
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引用次数: 3

摘要

本文提出了KGMO算法来获得支持电压分布的无功调度问题的最优设置。这里,RPD问题采用多目标求解;功率损耗和总电压偏差(TVD)最小化。在RPD的常规控制参数之外,在电力系统中引入了一种FACTS装置,即SVC,为无功支持带来了新颖性。利用MATLAB工具在IEEE 30总线测试框架上对KGMO的性能进行了测试。根据仿真结果,确定了MORPD的最优控制参数,并对无SVC和有SVC时的最优控制参数进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
KGMO for multi-objective optimal allocation of SVC and reactive power dispatch
In the paper, KGMO algorithm is proposed to obtain the optimum settings of reactive power dispatch (RPD) problem to support the voltage profile. Here, multi objectives are used for RPD problem; power loss and total voltage deviation (TVD) minimization. In addition to conventional control parameters for RPD, a FACTS device, namely, SVC has been introduced in power system to bring novelty in reactive power support. The performance of KGMO was tested on IEEE 30 bus test framework in MATLAB tool. From simulation results, the optimal control parameters of MORPD are determined and compared for without and with SVC.
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