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Optimal reactive power dispatch based on particle swarm optimization approach applied to the Algerian electric power system

机译:基于粒子群优化方法的最佳无功功率调度应用于阿尔及利亚电力系统

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This paper proposes a particle swarm optimization method for solving optimal reactive power dispatch (ORPD) problem. The proposed PSO have been applied for the ORPD problem with different objectives such as minimization of active power losses and improving the voltage profile satisfying various constraints of power flow equation, generator voltage limits, switchable capacitor banks, transformer tap changer limits, and transmission line limits. The proposed method has been examined and tested on the IEEE 30-bus and the Algerian electric power system 114-bus and the obtained results compared with two other methods, namely, Genetic Algorithm (GA), interior point method (IPM) and other methods in the literature. The result comparisons demonstrate the potential of the proposed approach and show its effectiveness and robustness to solve the ORPD problem. Therefore, the proposed PSO can be a
机译:本文提出了一种用于解决最佳无功功率调度(ORPD)问题的粒子群优化方法。所提出的PSO已经应用于不同的目标,例如最小化有源功率损耗和提高满足电流方程的各种约束的电压曲线,发电机电压限制,可切换电容库,变压器抽头更换器限制以及传输线限制的不同目标。已经在IEEE 30-母线和阿尔及利亚电力系统114-总线上检查和测试了该方法,与另外两种方法相比,所获得的结果,即遗传算法(GA),内部点法(IPM)和其他方法在文献中。结果比较展示了所提出的方法的潜力,并展示了解决ORPD问题的有效性和稳健性。因此,所提出的PSO可以是一个

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