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Mitigation of Voltage Sags With Phase Jumps by UPQC With PSO-Based ANFIS

机译:基于PSO的ANFIS的UPQC缓解了具有相跳的电压骤降

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摘要

The unified power-quality conditioner (UPQC) is used to mitigate the current and voltage-related power-quality (PQ) problems simultaneously in power distribution systems. Among all of the PQ problems, voltage sag is a crucial problem in distribution systems. In this paper, a new methodology is proposed to mitigate the unbalanced voltage sag with phase jumps by UPQC with minimum real power injection. To obtain the minimum real power injection by UPQC, an objective function is derived along with practical constraints, such as the injected voltage limit on the series active filter, phase jump mitigation, and angle of voltage injection. Particle swarm optimization (PSO) has been used to find the solution of the objective function derived for minimizing real power injection of UPQC along with the constraints. Adaptive neuro-fuzzy inference systems have been used to make the proposed methodology online for minimum real power injection with UPQC by using the PSO-based data for different voltage sag conditions. The proposed method has been validated through detailed simulation and experimental studies.
机译:统一的电能质量调节器(UPQC)用于同时缓解配电系统中与电流和电压有关的电能质量(PQ)问题。在所有PQ问题中,电压骤降是配电系统中的关键问题。本文提出了一种新的方法,以最小的有功功率注入来缓解UPQC产生的具有相跳的不平衡电压骤降。为了通过UPQC获得最小的有功功率注入,需要导出目标函数以及实际的约束条件,例如串联有源滤波器上的注入电压限制,相跳缓和和电压注入角度。粒子群优化(PSO)已用于找到目标函数的解,以最小化UPQC的有功功率注入以及约束。自适应神经模糊推理系统已被用于通过使用针对不同电压骤降条件的基于PSO的数据,在线提出建议的方法,以最小化使用UPQC注入的有功功率。通过详细的仿真和实验研究验证了该方法的有效性。

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