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基于有功微分补偿与虚拟惯量自适应的光储VSG控制策略OA北大核心CSTPCD

Control strategy for a PV energy storage VSG based on active power differential compensation and virtual inertia adaptive strategy

中文摘要英文摘要

针对传统光储虚拟同步发电机(virtual synchronous generator,VSG)存在并网有功稳态偏差与系统动态振荡难以兼顾的问题,提出一种基于有功微分补偿(active power differential compensation,APDC)与虚拟惯量自适应的光储VSG控制策略.首先,建立了基于APDC算法的光储VSG并网有功闭环小信号模型,并通过极点分布图与伯德图的分析,讨论了APDC算法对系统暂态振荡与有功稳态偏差的抑制效果,给出了相关系数的整定方法.然后,为改善频率响应并避免有功超调量的增加,设计了一种基于APDC算法的改进型虚拟惯量自适应策略,同时给出其参数的取值范围.最后,实验结果表明,所提策略能消除VSG并网有功的动态振荡与稳态偏差,具有更小的频率偏差与频率变化率.

There is a problem in that it is difficult to balance the steady-state deviation of grid-connected active power with the dynamic oscillation of the system in a traditional PV storage virtual synchronous generator(VSG).Thus a PV storage VSG control strategy based on active power differential compensation(APDC)and virtual inertia adaptive strategy is proposed.First,a closed-loop small signal model of a PV energy storage VSG based on the APDC algorithm is established,and the suppression effect of the algorithm on transient oscillation and steady-state deviation of active power is determined by analyzing a pole map and Bode diagram,and the tuning method of correlation coefficient is given.Then,to improve the frequency response performance and avoid the increase of active power overshoot,an improved virtual inertia adaptive strategy based on the APDC algorithm is designed,and the range of its parameters is given.Finally,experimental results show that the proposed strategy can eliminate the dynamic oscillation and steady-state deviation of the VSG grid-connected active power,with smaller frequency deviation and change rate.

郭磊磊;贾凯阳;朱虹;孙健;金楠;李琰琰;徐海珍

郑州轻工业大学电气信息工程学院,河南 郑州 450002中国能源建设集团安徽省电力设计院有限公司,安徽 合肥 230601合肥大学,安徽 合肥 230601

光储VSG稳态偏差小信号模型有功功率振荡虚拟惯量

PV energy storage VSGsteady-state deviationsmall signal modelactive power oscillationvirtual inertia

《电力系统保护与控制》 2024 (010)

NPC三电平虚拟同步机故障桥臂电流重构模型预测容错控制

21-31 / 11

This work is supported by the National Natural Science Foundation of China(No.U2004166). 国家自然科学基金项目资助(U2004166);河南省科技攻关计划项目资助(212102210021,232102241026)

10.19783/j.cnki.pspc.231365

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