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Power quality improvement of distribution system by reactive power compensation

机译:通过无功补偿改善配电系统的电能质量

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Reactive power management plays a vital role in improving power quality of the system. The major concern in reactive power management is location and quantity of placing capacitor at optimal location in the radial/mesh/interconnected distributions network is multi-objectives function with certain constraints. Optimally placing and sizing of capacitors reduces active power loss of the system, improves a voltage profile and power factor of the system. In this paper Particle Swarm Optimization (PSO) is used to achieve required objectives, which is a nonlinear optimization problem. The whole work is divided into two steps, identification of weaker nodes by using Voltage Sensitivity Factor (VSF) and combination of two sensitivity factors Voltage Stability Index and Voltage Sensitivity Factor (VSI, and VSF). Secondly, sizing of capacitors is done by using PSO technique, calculates the amount of reactive power compensation requires in each bus. The proposed algorithm is tested on IEEE 24-Bus system in MATLAB.
机译:无功功率管理在提高系统电源质量方面起着至关重要的作用。无功功率管理中的主要关注点是在径向/网格/互连的配电网络中将电容器放置在最佳位置的位置和数量是具有一定约束的多目标函数。电容器的最佳放置和大小可减少系统的有功功率损耗,改善系统的电压曲线和功率因数。在本文中,粒子群优化(PSO)用于实现所需的目标,这是一个非线性优化问题。整个工作分为两个步骤:使用电压敏感度因子(VSF)识别较弱的节点,以及将两个敏感度因子电压稳定性指数和电压敏感度因子(VSI和VSF)组合在一起。其次,使用PSO技术确定电容器的尺寸,计算每条母线所需的无功功率补偿量。在MATLAB的IEEE 24-Bus系统上对该算法进行了测试。

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