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首页> 外文期刊>International Journal of Energy Engineering >Multi Objective For Optimal Reactive Power Flow Using Modified PSO Considering TCSC
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Multi Objective For Optimal Reactive Power Flow Using Modified PSO Considering TCSC

机译:考虑TCSC的改进PSO的多目标最优无功潮流

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摘要

Multi objective optimal reactive power flow considering FACTS technology is becoming one of the most important issue in power system planning and control. This paper presents a new variant of particle swarm algorithm with time varying acceleration coefficients (TVAC) to solve multi objective optimal reactive power flow (MOORPF) (power loss minimization and voltage deviation). The proposed algorithm is used to adjust dynamically the parameters setting of Thyristor controlled series capacitor (TCSC) in coordination with voltages of generating units. This study is implemented on the standard IEEE 30-Bus system and the results are compared with other evolutionary programs such as simple genetic algorithm (SGA) and the simple particle swarm algorithm (SPSO). Simulation results confirm robustness of this new variant based PSO in term of solution quality and convergence time.
机译:考虑FACTS技术的多目标最优无功潮流正成为电力系统规划和控制中最重要的问题之一。本文提出了一种具有时变加速度系数(TVAC)的粒子群算法的新变种,以解决多目标最优无功潮流(MOORPF)(功耗最小化和电压偏差)。所提出的算法用于动态调节可控硅串联电容器(TCSC)的参数设置,与发电机组的电压相协调。这项研究是在标准的IEEE 30-Bus系统上实施的,并将结果与​​其他进化程序(例如,简单遗传算法(SGA)和简单粒子群算法(SPSO))进行了比较。仿真结果证实了这种基于新变量的PSO在解决方案质量和收敛时间方面的鲁棒性。

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