| 面向储能惯量支撑能力评估的新型电力系统惯性系数辨识方法 |
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| 引用本文： | 禹海峰,,马俊杰,,周年光,王璐,徐镇涛,李勇,.面向储能惯量支撑能力评估的新型电力系统惯性系数辨识方法[J].陕西电力,2023,0(5):1-7,72. |
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| 作者姓名： | 禹海峰 马俊杰 周年光 王璐 徐镇涛 李勇 |
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| 作者单位： | （1. 国网湖南省电力有限公司经济技术研究院，湖南 长沙 410004； 2. 湖南大学 电气与信息工程学院，湖南 长沙 410082； 3. 规模化电池储能应用技术湖南省工程研究中心，湖南 长沙 410114） |
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| 摘 要： | 传统的中心惯量方法，难以用以衡量储能等电力电子设备的惯量支撑能力。提出了一种基于量测数据的惯量辨识方法，用以衡量储能对电网的惯量支撑作用。首先，对含储能电力系统惯性系数计算方法进行了推导，明确了频率-功率-惯量的关联关系；其次，采用多项式方法对储能并网点以及系统的功率、频率量测数据进行拟合，基于拟合结果辨识获得对应惯性系数；最后，在IEEE 39节点系统中对方法的有效性进行了验证，并进一步分析了不同控制策略、控制参数对储能惯量支撑能力的影响。所提方法也可以用于新型电力系统中其他类型电力电子装置的惯量评估。
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| 关 键 词： | 惯量评估 储能系统 惯性系数辨识 虚拟同步机控制 |
New Power System Inertia Coefficient Identification Method for Energy Storage Inertia Support Capability Evaluation |
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| YU Haifeng,,MA Junjie,,ZHOU Nianguang,WANG Lu,XU Zhentao,LI Yong,.New Power System Inertia Coefficient Identification Method for Energy Storage Inertia Support Capability Evaluation[J].Shanxi Electric Power,2023,0(5):1-7,72. |
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| Authors: | YU Haifeng MA Junjie ZHOU Nianguang WANG Lu XU Zhentao LI Yong |
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| Affiliation: | （1. State Grid Hunan Electric Power Economic and Technology Research Institute，Changsha 410004，China；2. College of Electrical and Information Engineering，Hunan University，Changsha 410082，China；3. Hunan Engineering Research Center of Large-scale Battery Energy Storage Application Technology，Changsha 410114，China） |
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| Abstract: | The traditional central inertia method can not be used to measure the inertia supporting capacity of power electronic equipments，such as battery energy storage system（BESS）. The inertia identification method based on measurement data is proposed to evaluate the inertia support ability of BESS. Firstly, the inertia coefficient calculation method is derived, the relation of frequency, power and inertia is clarified. Then, the polynomial method is used to fit the energy storage node and system power and frequency measurement data, and the corresponding inertia coefficient is obtained based on the fitting results. Finally, the proposed method is validated through IEEE 39 bus system, where the influence of control strategy and control parameters on inertia of BESS are also discussed. The proposed method can also be applied for inertia evaluation of other power electronic devices. |
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| Keywords: | inertia evaluation energy storage inertia coefficient identification virtual synchronous generator control |
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