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首页> 外文期刊>International Journal of Intelligent Systems and Applications >Optimal Placement and Sizing of Capacitor and Distributed Generation with Harmonic and Resonance Considerations Using Discrete Particle Swarm Optimization
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Optimal Placement and Sizing of Capacitor and Distributed Generation with Harmonic and Resonance Considerations Using Discrete Particle Swarm Optimization

机译:离散粒子群算法在考虑谐波和谐振的情况下优化电容器和分布式发电的布局和尺寸

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摘要

Presence of distributed generation (DG) in distribution systems has significant impacts on the operational characteristics of these systems, also using capacitor for reactive compensation and loss reduction is so common. Injected harmonic currents from non-linear loads into distribution system distort all of voltages and currents and must be considered when placing the capacitor banks so that the resonance will not occur. In this paper discrete particle swarm optimization (DPSO) approach is used for the optimal placement and sizing of distributed generations and capacitors in distribution systems for simultaneous voltage profile improvement, loss and total harmonic distortion (THD) reduction. There is a term in the objective function which prevents harmonic resonance between capacitor reactance and system reactance. Constraints include voltage limit, voltage THD, number/ size of capacitors and generators. For evaluating the proposed algorithm, the IEEE 33-bus test system is modified and employed.
机译:配电系统中分布式发电(DG)的存在对这些系统的运行特性有重大影响,因此,使用电容器进行无功补偿和降低损耗也很普遍。来自非线性负载的谐波电流注入配电系统会使所有电压和电流失真,因此在放置电容器组时必须加以考虑,以免发生谐振。在本文中,离散粒子群优化(DPSO)方法用于配电系统中分布式电源和电容器的最佳放置和尺寸确定,以同时改善电压分布,降低损耗和降低总谐波失真(THD)。目标函数中有一个术语可以防止电容器电抗和系统电抗之间的谐波谐振。约束包括电压极限,电压THD,电容器和发电机的数量/尺寸。为了评估所提出的算法,修改并采用了IEEE 33总线测试系统。

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