Abstract
提出了种应用于飞轮储能系统的神经元自适应比例?积分?微分(proportional integral differential,PID)控制算法。该算法基于传统的双闭环调速系统与神经网络理论,实现对飞轮驱动电机的控制,使飞轮驱动电机能够根据系统要求,驱动飞轮储能单元储存或释放能量。运用李亚普诺夫稳定性理论证明了该控制算法的稳定性和有效性,并给出了其稳定性条件。经过仿真验证,该算法可以有效地实现对飞轮储能单元的充放电控制,其控制参数可以随着系统的运行自适应调节,飞轮储能单元的控制精度和鲁棒性也有所提高。
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.
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.
| Translated title of the contribution | Neuron adaptive PID control algorithm with application to flywheel energy storage system unit |
|---|---|
| Original language | Chinese (Simplified) |
| Pages (from-to) | 74-79 |
| Number of pages | 6 |
| Journal | 电网技术 = Power System Technology |
| Volume | 38 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2014 |
| Externally published | Yes |
Funding
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)
Keywords
- 李亚普诺夫理论
- 风力发电机
- 转速-电流双闭环控制
- 飞轮储能单元
- 神经元自适应比例-积分-微分控制
- Flywheel energy storage unit
- Lyapunov theory
- Neural adaptive PID control
- Wind turbine generator
- rotational speed-current double closed-loop control