基于RBF_PID控制的三相动态电压恢复器

doi:10.11985/2017.08.005

摘要/Abstract

摘要：

在电力系统各种电能质量问题中,电压暂降发生概率最高。目前解决动态电能质量问题的主要手段是动态电压恢复器（DVR）,本文针对传统PID控制存在的稳态误差较大、负载适应性差、对非线性负载补偿不足等问题,提出了采用RBF神经网络对动态电压恢复器的PID控制参数进行动态整定的方案。仿真实验表明,该方案获得了动态性能优越、控制简单、鲁棒性强的效果。

关键词: RBF神经网络, PID整定, 动态电压恢复器, 电压凹陷

Abstract:

The highest probability of power quality problems is the voltage sag in the power system. Dynamic voltage restorer (DVR) is the main method to solve dynamic power quality problems. To obtain better dynamic performance, simple control effect and strong robustness, a dynamic tuning method is proposed for the PID control parameters of dynamic voltage restorer using radial basis function (RBF) neural network in this paper. The scheme has the advantages of superior dynamic performance, simple control and strong robustness.

Key words: RBF neural network, PID tuning, dynamic voltage restorer, voltage sag

中图分类号:

TM762

任宝森,姜雪菲,李立伟. 基于RBF_PID控制的三相动态电压恢复器[J]. 电气工程学报, 2017, 12(8): 28-33.

Ren Baosen,Jiang Xuefei,Li Liwei. Dynamic Voltage Restorer Control Based on RBF_PID[J]. Journal of Electrical Engineering, 2017, 12(8): 28-33.

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