Modified Particle Swam Optimization based LVRT control strategy for grid connected WECS

V. Sekhar, K. Ravi
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引用次数: 1

Abstract

Modified Particle Swam optimization (MPSO) based LVRT control strategy for grid connected WECS is proposed to improve the performance of converters coordination using intelligent controllers. Through this we can expect any facts controllers and external controller circuits like current limiters the coordination of the back-back converters coordination is improved. The intelligent controllers like Fuzzy logic permits creating definite selections supported inaccurate or ambiguous information and artificial neural network (ANN) tries to include the human thinking method to resolve issues while not mathematically model. Hybrid system with the combination of ANFIS and PSO is proposed in this paper optimize the objective function. The proposed hybrid control scheme will improve the performance of the WECS under LVRT conditions and it has been verified through MATLAB.
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基于改进粒子游优化的LVRT并网WECS控制策略
提出了一种基于改进粒子游优化(MPSO)的LVRT控制策略,用于并网WECS,利用智能控制器提高变流器协调性能。通过这种方法,我们可以预期任何事实控制器和外部控制器电路如限流器的协调都得到了改善。像模糊逻辑这样的智能控制器允许创建明确的选择,支持不准确或模糊的信息,人工神经网络(ANN)试图包括人类思维方法来解决问题,而不是数学模型。本文提出了一种结合ANFIS和粒子群算法的混合系统,对目标函数进行优化。所提出的混合控制方案能够提高低电压下wcs的性能,并通过MATLAB进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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