规模化储能虚拟同步控制策略及其惯量分析
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(1.湖南迪泰尔综合能源规划设计有限公司,湖南 长沙 410001;2.湖南大学电气与信息工程学院,湖南 长沙 410082;3.国网湖南综合能源服务有限公司,湖南 长沙 410001)

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通讯作者:

李 勇(1982—),男,博士,教授,博士生导师,主要从事电力系统运行与控制、电力电子系统与控制等方面的研究;E?mail:liyong1881@163.com

中图分类号:

TM732

基金项目:

国网湖南综合能源服务有限公司科技项目(HZN21002)


Virtual synchronous control strategy and inertia analysis of large‑scale energy storage
Author:
Affiliation:

(1.Hunan Ditel Comprehensive Energy Planning and Design Co., Ltd., Changsha 410001, China;2.College of Electrical and Information Engineering,Hunan University, Changsha 410082, China; 3. State Grid Hunan Energy Comprehensive Service Co., Ltd., Changsha 410001, China)

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    摘要:

    高比例电力电子设备无法为系统提供足够惯量,给电力系统带来巨大的挑战。虚拟同步发电机(virtual synchronous generator,VSG)控制的储能系统可以参与电网频率调整,提高频率稳定性。重点分析VSG控制参数对含规模化储能的多节点系统的稳定性和惯量支撑能力的影响,给出规模化储能在不同系统惯量水平下控制参数的配置依据。首先,介绍VSG控制的原理和实现方式,并建立系统的状态空间模型。其次,分析同步电机的惯量响应过程,推导频率扰动事件下VSG需要提供的能量及对应的虚拟惯性时间常数。然后,建立含VSG控制储能的3机9节点系统仿真模型,利用模态分析法分析控制参数对系统稳定性的影响。最后,通过仿真验证储能的惯性支撑能力以及储能参数配置原则的有效性。

    Abstract:

    The high proportion of power electronic equipment cannot provide enough inertia for the system, posing great challenges to the power system. The energy storage system controlled by the virtual synchronous generator (VSG) can participate in grid frequency adjustment and improve frequency stability. The influence of VSG control parameters on the stability and inertia support capability of a multi-node system with large-scale energy storage is analyzed, and the basis for configuring control parameters of large-scale energy storage under different system inertia levels is provided. Firstly, the principle and implementation of VSG control are introduced, and the state space model of the system is established. Secondly, the inertia response process of the synchronous motor is analyzed, and the energy required by VSG under frequency disturbance events and the corresponding virtual inertia time constant are derived. Then, a simulation model of a 3-machine 9-node system with VSG-controlled energy storage is established, and modal analysis is used to analyze the influence of control parameters on system stability. Finally, simulations are performed to verify the inertia support capability of energy storage and the effectiveness of energy storage parameter configuration principles.

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引用本文

杨 力,朱晓纲,李 勇,等.规模化储能虚拟同步控制策略及其惯量分析[J].电力科学与技术学报,2024,39(2):190-197.
YANG Li, ZHU Xiaogang, LI Yong, et al. Virtual synchronous control strategy and inertia analysis of large‑scale energy storage[J]. Journal of Electric Power Science and Technology,2024,39(2):190-197.

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  • 在线发布日期: 2024-05-29
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