电力系统保护与控制2011，Vol.39Issue(18)：67-71,5.
基于神经网络的SVC电压稳定性控制
A voltage stability control method of SVC based on neural network
马兆兴 1万秋兰 1李洪美 1丁涛1
作者信息
- 1. 东南大学电气工程学院,江苏南京210096
- 折叠
摘要
Abstract
There are many uncertainties and disturbances in the real power system that make traditional static var compensator (SVC) control methods have lower precision, however, the neural networks (NNs) control opens a new way to solve the control problem of nonlinear and uncertainness system. A neural networks P1D control scheme is proposed, which makes the voltage at the point of common coupling keep near the given value through controlling SVC. The method has good robust stability in closed-loop control system. EPRI-36 buses system and power system that contains wind generator are simulated using NNs PID to control SVC, which confirms the effectiveness of the proposed control scheme.关键词
神经网络/电力系统/SVC/电压稳定/稳定控制Key words
neural network/ power system/ SVC/ voltage stability/ stability control分类
信息技术与安全科学引用本文复制引用
马兆兴,万秋兰,李洪美,丁涛..基于神经网络的SVC电压稳定性控制[J].电力系统保护与控制,2011,39(18):67-71,5.
