李世春, 张业丽, 刘颂凯, 石明达, 张业, 李振兴. 跟网型电化学储能虚拟惯性常数的常数化计算方法[J]. 电力系统自动化, 2024, 48(20): 149-158.
引用本文: 李世春, 张业丽, 刘颂凯, 石明达, 张业, 李振兴. 跟网型电化学储能虚拟惯性常数的常数化计算方法[J]. 电力系统自动化, 2024, 48(20): 149-158.
LI Shi-chun, ZHANG Ye-li, LIU Song-kai, SHI Ming-da, ZHANG Ye, LI Zhen-xing. Constantized Calculation Method of Virtual Inertia Constant for Grid-following Electrochemical Energy Storage[J]. Automation of Electric Power Systems, 2024, 48(20): 149-158.
Citation: LI Shi-chun, ZHANG Ye-li, LIU Song-kai, SHI Ming-da, ZHANG Ye, LI Zhen-xing. Constantized Calculation Method of Virtual Inertia Constant for Grid-following Electrochemical Energy Storage[J]. Automation of Electric Power Systems, 2024, 48(20): 149-158.

跟网型电化学储能虚拟惯性常数的常数化计算方法

Constantized Calculation Method of Virtual Inertia Constant for Grid-following Electrochemical Energy Storage

  • 摘要: 在包含跟网型储能虚拟惯量控制的新型电力系统频率响应(SFR)建模应用中,跟网型储能的虚拟惯性常数具有时变特性,且无法聚合求解系统等效惯性常数,导致不能构建完整的SFR模型。基于此,提出了跟网型电化学储能虚拟惯性常数的常数化计算方法,通过计算具有等效惯性常数-能量支撑效果的常数化虚拟惯性常数,实现系统等效惯性常数的聚合求解。该方法根据能量变化关键节点和动态过程的约束条件,以及跟网型储能虚拟惯量响应的两阶段相异特征,建立了具有最相近能量变化的目标函数,以分段求解常数化虚拟惯性常数。最后,通过建立SFR模型,结合时域仿真法和相关评价指标验证了计算结果的精确性。

     

    Abstract: The virtual inertia constant of grid-following energy storage has time-varying characteristic and the equivalent inertia constant of the system cannot be aggregated and solved, which leads to the failure of constructing a complete system frequency response(SFR) model in the SFR modeling application of the new power system including the virtual inertia control of gridfollowing energy storage. On this basis, the constantized calculation method of the virtual inertia constant for grid-following electrochemical energy storage is proposed, which can aggregate and solve the equivalent inertia constant of the system by calculating the constantized virtual inertia constant with the equivalent inertia constant-energy support effect. The proposed method establishes an objective function with the closest energy change to solve the constantized virtual inertia constant in sections according to the constraints of the key nodes and dynamic process of energy change, and the two-stage different characteristics of the virtual inertia response of grid-following energy storage. Finally, the accuracy of the calculation results is verified by establishing the SFR model which combines the time-domain simulation method and relevant evaluation indices.

     

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