电源学报2025，Vol.23Issue(2)：142-151,10.DOI:10.13234/j.issn.2095-2805.2025.2.142
混合储能虚拟同步机频率优化调节研究
Research on Frequency Optimal Regulation of Hybrid Energy Storage Virtual Synchronous Generator
摘要
Abstract
The control system for hybrid distributed energy storage virtual synchronous generator(VSG)composed of a battery and a supercapacitor is improved.A principle for the power allocation of hybrid energy storage is proposed,and a frequency division sliding filter method is designed according to different frequency bands.In view of the power fluctuations of different frequencies,the virtual moment of inertia is piecewise improved to achieve the coordination between the battery and the supercapacitor.Aimed that the problem that the traditional VSG cannot suppress the frequency oscillations,the virtual damping coefficient is modified,and adaptive virtual damping is used to improve the regulation capability of the control system when the frequency oscillations occur.MATLAB is used to verify the proposed control strategy through simulations.Results show that the hybrid energy storage VSG can be controlled in terms of frequency,i.e.,when the load fluctuates irregularly,the supercapacitor responds to the high-frequency power fluctuation in time while the battery suppresses the low-frequency power,thus realizing the coordination between the battery and the supercapacitor.When faced with a sudden decrease or increase of 10 kW load,adaptive virtual damping can be used to deal with the frequency oscillations of active output caused by load power fluctuations of hybrid energy storage,and the frequency overshoot is controlled within 0.06 Hz.As a result,the proposed control strategy can adjust the small deviation of frequency regardless of the sudden increase or decrease of power.关键词
混合分布式储能/虚拟同步机/分段虚拟惯量/自适应虚拟阻尼Key words
Hybrid distributed energy storage/virtual synchronous generator(VSG)/piecewise virtual inertia/adaptive virtual damping分类
信息技术与安全科学引用本文复制引用
邓鹏,杨沛豪..混合储能虚拟同步机频率优化调节研究[J].电源学报,2025,23(2):142-151,10.基金项目
国家自然科学基金资助项目(51671149) （51671149）
湖北省自然科学基金资助项目(2020CFB559)This work is supported by National Natural Science Foundation of China under the grant 51671149 （2020CFB559）
Natural Science Foundation of Hubei Province under the grant 2020CFB559 （）
