| 引用本文: | 武鑫,滕伟,柳亦兵.电网调频型飞轮储能系统自适应鲁棒充电控制方法研究[J].电力系统保护与控制,2019,47(8):56-61.[点击复制] |
| WU Xin,TENG Wei,LIU Yibing.Study on adaptive robust charge control of flywheel energy storage system for grid frequency adjustment[J].Power System Protection and Control,2019,47(8):56-61[点击复制] |
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| 摘要: |
| 飞轮储能系统对电网频率调节控制的效果优异，能够有效地提高电网频率稳定性，保证电网运行的可靠性和安全性。为了提高电网波动下的系统充电过程中系统性能和转速跟踪精度，并减小系统的振动和冲击，针对采用永磁同步电机的此类系统，基于矢量控制策略提出了转子转速自适应鲁棒控制(ARC)方法和连续参考转速曲线。通过建立的仿真模型，对推导的方法进行了验证。接着应用转速PID控制方法和等加速度参考转速曲线。仿真结果表明:基于转速ARC控制方法和连续参考转速曲线，系统的转速稳态误差为0.03%，角加速度稳态误差为0.7%，电网波动下的转速最大误差为0.8%；基于转速PID控制方法和等加速度参考转速曲线时，系统的转速稳态误差为0.08%，角加速度稳态误差为1.6%，电网波动下的转速最大误差为6.0%。因此，采用转速ARC控制方法和连续参考转速曲线的系统性能和转速跟踪误差明显优于采用转速PID控制方法和等加速度参考转速曲线。 |
| 关键词: 调频型飞轮储能系统 充电控制 连续参考转速曲线 自适应鲁棒控制方法 |
| DOI：10.7667/PSPC180524 |
| 投稿时间：2018-05-05修订日期：2018-10-18 |
| 基金项目:国家重点研发计划项目资助(2017YFC0805905);国家自然科学基金项目资助(51775186);中央高校基本科研业务费专项资金项目资助(2017MS074) |
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| Study on adaptive robust charge control of flywheel energy storage system for grid frequency adjustment |
| WU Xin,TENG Wei,LIU Yibing |
| (Research Center for Advanced Flywheel Energy Storage Technology, North China Electric University, Beijing 102206, China) |
| Abstract: |
| The performance of the Flywheel Energy Storage System (FESS) is excellent when it is applied on the adjustment of the grid frequency. FESS can improve the stability of the grid frequency and guarantee the reliability and stability of the grid. In order to enhance the system performance and rotation speed accuracy during the charge process of FESS with Permanent Magnet Synchronous Motor (PMSM) under grid vibration, this paper proposes the Adaptive Robust Control (ARC) method and the continuous reference curve of the rotor rotation speed to reduce the system vibration and impact based on the vector control strategy. The developed methods are verified through the built simulation model. Then it applies the PID control method and the uniform acceleration reference curve of the rotation speed on the FESS. The simulation results show that the steady state speed error is 0.03% and the steady state error of the angular acceleration is 0.7% for the system with ARC method and the continuous reference curve, while the maximum speed error is 0.8% under the grid vibration. For the system with PID method and the uniform acceleration reference curve, the steady state speed error is 0.08% and the steady state error of the angular acceleration is 1.6%, while the maximum speed error is 6.0% under the grid vibration. Therefore, the FESS with ARC method and continuous reference curve owns much better performance and rotation speed tracking accuracy than the system with PID method and the uniform acceleration reference curve during the charge process. This work is supported by National Key Research and Development Program of China (No. 2017YFC0805905), National Natural Science Foundation of China (No. 51775186) and Fundamental Research Funds for the Central Universities in China (No. 2017MS074). |
| Key words: flywheel energy storage system for power grid adjustment charge control continuous reference curve of rotation speed adaptive robust control method |
