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Optimal placement of UPFC in power systems using immune algorithm

机译:基于免疫算法的电力系统UPFC优化配置

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摘要

This paper presents the application of immune algorithm (IA) to find optimal location of unified power flow controller (UPFC) to achieve optimal power flow (OPF) and congestion management. Objective function in the OPF, that is to be minimized, is the overall cost functions, which includes the total active and reactive production cost function of the generators and installation cost of UPFCs. The OPF constraints are generators, transmission lines and UPFCs limits. In power system, it may not always be possible to dispatch all of the contracted power transactions due to congestion of the transmission corridors. We propose IA method to minimize the objective function under all equality and inequality constraints. Simulations are performed on 4-bus, IEEE 14-bus and IEEE 30-bus test systems for optimal location of UPFC and the results obtained are encouraging and will be useful in electrical restructuring.
机译:本文介绍了免疫算法(IA)在寻找统一潮流控制器(UPFC)的最优位置以实现最优潮流(OPF)和拥塞管理中的应用。 OPF的目标函数是总成本函数,该函数应被最小化,其中包括总的有功和无功生产成本函数以及UPFC的安装成本。 OPF约束是发电机,传输线和UPFC限制。在电力系统中,由于输电通道的拥挤,不一定总能调度所有合同的电力交易。我们提出一种IA方法,以在所有平等和不平等约束下最小化目标函数。仿真在4总线,IEEE 14总线和IEEE 30总线测试系统上进行,以实现UPFC的最佳位置,所获得的结果令人鼓舞,并将在电气重组中有用。

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