摘要
在并网点接入无功补偿器是提高电压稳定保证风电可靠运行的有效方法。设计一种带超导储能的静态无功补偿器,应用逆系统方法实现系统反馈线性化解耦,再采用RBF神经网络滑模控制对解耦逆系统进行控制。仿真结果表明:采用逆系统方法和RBF神经网络滑模控制对提高系统的动态响应速度和改善系统鲁棒性具有良好的效果,所得结果符合带超导储能的静态无功补偿器的动态响应特性。
To install the reactive power compensation in grid connection point is an effective method to improve the voltage stability of wind power and ensure reliable operation. This paper designs a kind of STATCOM with superconducting magnetic energy storage. It achieves system decoupling of the feedback linearization using the inverse system method, and then controls the decoupled inverse system based on the RBF neural network sliding mode control. Simulation results show that the inverse system method and RBF neural network sliding mode control show a good effect in improving the system dynamic response speed and the system robustness. The results accord with the dynamic response characteristics of STATCOM with SMES.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2013年第3期91-95,共5页
Power System Protection and Control
关键词
超导储能
静态无功补偿器
逆系统
神经网络滑模控制
superconducting magnetic energy storage
STATCOM
inverse system
RBF neural network sliding mode control
