电网技术Issue(1)：3676-3681,6.DOI:10.13335/j.1000-3673.pst.2014.01.012
用于飞轮储能单元的神经元自适应比例-积分-微分控制算法
Neuron Adaptive PID Control Algorithm With Application to Flywheel Energy Storage System Unit
摘要
Abstract
A neural adaptive proportional integral differential (PID) control algorithm applied to flywheel energy storage system is proposed. Based on traditional doubly closed-loop governing system and neural network theory the proposed algorithm implements the control of driving motor of flywheel to make the motor driving the flywheel energy storage unit to store up or release energy according to the demand of power grid. Both stability and validity of the proposed control algorithm are proved by Lyapunov theory, and the stability conditions of the proposed control algorithm are given. Simulation results show that using the proposed control algorithm the energy storage or release of flywheel energy storage unit can be controlled effectively, and the control parameters of flywheel energy storage unit can be adaptively adjusted according to power grid operation, and both control accuracy and robustness of flywheel energy storage unit can be improved.关键词
飞轮储能单元/风力发电机/转速-电流双闭环控制/神经元自适应比例-积分-微分控制/李亚普诺夫理论Key words
flywheel energy storage unit/wind turbine generator/rotational speed-current double closed-loop control/neural adaptive PID control/Lyapunov theory分类
信息技术与安全科学引用本文复制引用
王磊,杜晓强,宋永端..用于飞轮储能单元的神经元自适应比例-积分-微分控制算法[J].电网技术,2014,(1):3676-3681,6.基金项目
国家重点基础研究发展计划项目(973项目)(2012CB215200)；国家自然科学基金项目(51205046)。@@@@The National Basic Research Program of China (973 Program)(2012CB215200) （973项目）
Project Supported by National Natural Science Foundation of China (51205046) （51205046）
