2025年4月5日 周六
首页 > 过刊浏览>2024年第卷第3期 >150-158. DOI:10.19781/j.issn.1673-9140.2024.03.017
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风电场配套储能的自适应虚拟惯性—阻尼控制
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作者:
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 410012;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)

通讯作者:

马俊杰（1989—），男，博士，副研究员，主要从事新能源电力系统稳定性分析与控制研究；E?mail:majunjie1989@hnu.edu.cn

中图分类号:

TM762

基金项目:

湖南创新型省份建设科技重大专项项目(2020GK1011)；国家自然科学基金(52007057)


An adaptive virtual inertial damping control for wind farm integrated energy storage system
Author:
Affiliation:

(1.Research Institute of Economic and Technology， State Grid Hunan Electric Power Co., Ltd., Changsha 410004， China; 2.College of Electrical and Information Engineering, Hunan University, Changsha 410012， China; 3.Hunan Engineering Research Center of Large‑scale Battery Energy Storage Application Technology, Changsha 410114， China)

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    摘要:

    提出了一种面向风储系统并网点频率稳定性提升的储能自适应虚拟惯性-阻尼控制策略。首先,通过分析推导，在储能控制策略中引入惯量控制参数与阻尼控制参数的调整系数，实现控制参数的自适应调整；其次,通过小信号分析整定，给出惯量控制参数与阻尼控制参数的取值范围；最后，基于所搭建的风储联合系统，对本文所提控制方法面对不同类型故障时的有效性进行了验证。结果证明，相比于传统虚拟同步控制方法，本文所提方法能够显著提升并网点频率稳定性，并且实现惯性和阻尼的自适应平滑调节。

    Abstract:

    In this paper, an adaptive virtual inertial-damping control method of battery energy storage for maximum wind power point tracking is proposed to increase the frequency stability of wind farms. First, adjustment coefficients of both the inertia control parameter and damping parameter are introduced to the virtual synchronous control strategy. Then, the value range of both control parameters is given by small signal analysis. Finally, based on the combined wind and storage system, the effectiveness of the control method proposed in this paper is verified when facing different types of faults. The results show that compared with the traditional virtual synchronous control method, the proposed method can significantly improve the frequency stability of the merging points, and realize the adaptive smooth adjustment of inertia and damping.

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周年光,谢欣涛,马俊杰,等.风电场配套储能的自适应虚拟惯性—阻尼控制[J].电力科学与技术学报,2024,(3):150-158.
ZHOU Nianguang, XIE Xintao, MA Junjie, et al. An adaptive virtual inertial damping control for wind farm integrated energy storage system[J]. Journal of Electric Power Science and Technology,2024,(3):150-158.

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