基于粒子群算法确定STATCOM的最优位置和尺寸,并设计其在线ANFIS控制器以增强电力系统电压稳定性

H. Nguyen, Hung Nguyen, K. H. Le, M. T. Cao, T. Nguyen, T. Nguyen, Minh Vuong Le
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引用次数: 0

摘要

STATCOM通过注入或吸收无功功率来调节母线电压,因此能够提高电力系统电压的稳定性。然而,如何在电力系统中找到支持稳态母线电压的器件的最佳位置和尺寸,并设计一个控制器来提高暂态电压的稳定性是很重要的。本文采用基于粒子群算法的最优位置和最优尺寸,设计了STATCOM的在线ANFIS控制器,提高了STATCOM在大扰动下的暂态电压稳定性。利用神经辨识器对ANFIS进行在线训练。并在此基础上及时调整权重和系数。为了验证所设计控制器的性能,在MATLAB环境下进行了电压响应的时域仿真,以评估所设计控制器对STATCOM的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining Optimal Location and Sizing of STATCOM Based on PSO Algorithm and Designing Its Online ANFIS Controller for Power System Voltage Stability Enhancement
STATCOM is used to adjust bus voltage by injecting or absorbing the reactive power, therefore it is capable of improving power system voltage stability. However, it is important to find the optimal location and sizing of the device in a power system to support bus voltage in steady-state and design a controller to enhance transient voltage stability. In this paper, the optimal location and sizing of STATCOM are used based on the PSO method and the online ANFIS controller is designed for STATCOM to improve transient voltage stability under large disturbance. Online training of ANFIS is done using a neural identifier. And based on this identification, the weights and coefficients are adjusted timely. To demonstrate the performance of the proposed controllers, simulation results of the voltage response in time-domain are performed in MATLAB environment to evaluate the effectiveness of the designed controller for STATCOM.
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