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Optimal Power Flow problems solution with SVC using meta-heuristic algorithm

机译:使用Meta-heuristic算法的SVC最佳功率流问题解决方案

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摘要

Optimal power flow is highly constrained, non linear and non optimization problems of the power system. This present paper introduced meta heuristic Grey Wolf Optimizer (GWO) algorithm to solve of OPF problems equipped with shunt connected Flexible AC transmission (FACT) device called Static VAR Compensator( SVC). Total three objective functions Fuel Cost, Voltage Deviation and Active power loss are considered as OPF problems. To determines the Quality and effectiveness of proposed approach (GWO) apllied on standard IEE-30 bus test system with and without SVC device. The results demonstrate that GWO algorithm given optimal setting of control variable for all objective functions compared to other well known algorithms were reported in literature.
机译:最佳功率流是功率系统的高度约束,非线性和非优化问题。本文介绍了元启发式灰狼优化器(GWO)算法来解决配备分流连接柔性AC传输(事实)设备的OPF问题,称为静态VAR补偿器(SVC)。总共三个客观功能燃料成本,电压偏差和有效功率损耗被认为是OPF问题。确定所提出的方法(GWO)的质量和有效性(GWO)在标准IEE-30总线测试系统上使用和不具有SVC设备。结果表明,与文献中报告的其他公知的算法相比,GWO算法给定所有客观函数的控制变量的最佳设置。

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