Characterization and Suppression of Sub-synchronous Oscillations in Flexible Grid-connected Offshore Wind Farm Systems Equipped With SVGs Based Improved Artificial Bee Colony Algorithm

WEI Shurong; FENG Qirui; HE Fang; LIU Yang

doi:10.19725/j.cnki.1007-2322.2024.0070

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Characterization and Suppression of Sub-synchronous Oscillations in Flexible Grid-connected Offshore Wind Farm Systems Equipped With SVGs Based Improved Artificial Bee Colony Algorithm

更新时间：2026-06-02

- Characterization and Suppression of Sub-synchronous Oscillations in Flexible Grid-connected Offshore Wind Farm Systems Equipped With SVGs Based Improved Artificial Bee Colony Algorithm
- Vol. 43, Issue 3, Pages: 492-498(2026)
- 作者机构：
  
  教育部海上风电技术工程中心(上海电力大学), 上海市杨浦区,200093
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0070
  CLC： 3
- Published：2026
- 稿件说明：
移动端阅览
WEI Shurong, FENG Qirui, HE Fang, et al. Characterization and Suppression of Sub-synchronous Oscillations in Flexible Grid-connected Offshore Wind Farm Systems Equipped With SVGs Based Improved Artificial Bee Colony Algorithm[J]. 2026, 43(3): 492-498.
DOI：

WEI Shurong, FENG Qirui, HE Fang, et al. Characterization and Suppression of Sub-synchronous Oscillations in Flexible Grid-connected Offshore Wind Farm Systems Equipped With SVGs Based Improved Artificial Bee Colony Algorithm[J]. 2026, 43(3): 492-498. DOI： 10.19725/j.cnki.1007-2322.2024.0070.

摘要

海上风电经柔直并网系统的次同步振荡（sub-synchronous oscillation，SSO）问题频繁出现，亟需掌握海上风电场、柔直系统、静止无功发生器（static var generator，SVG）对SSO的作用机理，提出有效的次同步振荡抑制方式。构建含有SVG的直驱风机海上风电场经柔直并网系统小信号模型，基于特征值分析法、参与因子法，研究系统振荡模式，得到海上风电场经柔直并网发生次同步振荡的主导状态变量。采用混沌映射改进人工蜂群算法（artificial bee colony

ABC），优化主导状态变量涉及的控制参数，进一步抑制SSO发生。分析结果表明，海上风电场、柔直系统与SVG共同影响系统的SSO振荡模态，其中海上风电场与柔直系统在不同振荡模态下对SSO的影响不同，SVG对SSO的影响不受振荡模态变化的影响。进一步，通过改进ABC算法优化控制器参数，可以改善系统特征根分布并提高阻尼比，有效提升系统稳定性。

Abstract

The sub-synchronous oscillation (SSO) problem in offshore wind farms connected to grids through flexible DC systems occurs frequently. It is urgent to thoroughly understand the mechanism of offshore wind farm

flexible DC system

and SVG on SSO

and to develop effective sub-synchronous oscillation suppression methods. A small-signal model for a direct-drive wind turbine-based offshore wind farm equipped with SVG is constructed. Using the eigenvalue analysis method and the participation factor method

the system oscillation mode is investigated to identify the dominant state variables associated with SSO in offshore wind farms connected to the grid through flexible DC systems. The control parameters involved in the dominant state variables are optimized through the improved artificial bee colony algorithm (ABC) with chaotic mapping

aiming to further suppress the occurrence of SSO. The analysis results indicate that the offshore wind farm

the flexible DC system and the SVG jointly affect the oscillation mode of system SSO. Specifically

the offshore wind farm and the flexible DC system have different impacts on SSO under different oscillation modes

and the impact of the SVG on the SSO remains unaffected by changes in the oscillation mode. Further optimization of the controller parameters through the improvements to the ABC algorithm leads to an enhanced system eigenroot distribution and damping ratio

which effectively enhances the system stability.

关键词

Keywords

references

LI Yan, FENG Junjie, LU Yuxin, et al . Key technologies and prospects of VSC-HVDC for large-capacity and long-distance offshore wind power transmission[J ] . High Voltage Engineering, 2022, 48(9): 3384−3393(in Chinese).

ZHOU Xiaoxin, LU Zongxiang, LIU Yingmei, et al . Development models and key technologies of future grid in China[J ] . Proceedings of the CSEE, 2014, 34(29): 4999−5008(in Chinese).

ZHENG Hai, DU Weian, LI Yangchun, et al . Current situation of the offshore wind power development all over the world[J ] . Hydropower and New Energy, 2018, 32(06): 75−77(in Chinese).

JIANG Qirong, WANG Yuzhi. Overview of the analysis and mitigation methods of electromagnetic oscillations in power systems with high proportion of power electronic equipment[J]. Proceedings of the CSEE, 2020, 40(22): 7185−7201(in Chinese).

CHEN Chen, DU Wenjuan, WANG Haifeng. Review on mechanism of sub-synchronous oscillations caused by grid-connected wind farms in power systems[J]. Southern Power System Technology, 2018, 12(01): 84−93(in Chinese).

LI H, XIE X, CHAI W, et al . Subsynchronous oscillation events in an MTDC-connected renewable energy system[C ] // 2021 International Conference on Power System Technology (POWERCON). Haikou, China, 2021.

LYU J, CAI X, AMIN M, et al . Sub-synchronous oscillation mechanism and its suppression in MMC-based HVDC connected wind farms[C ] //IET Gener Transm Distrib, 2018, 12: 1021-1029.

XIAO Xiangning, LUO Chao, LIAO Kunyu. Review of the research on subsynchronous oscillation issues in electric power system with renewable energy sources[J]. Transactions of China Electrotechnical Society, 2017, 32(06): 85−97(in Chinese).

LIU Yuming, HUANG Biyue, SUN Haishun, et al . Study on subsynchronous interaction between D-PMSG-based wind turbines and SVG[J ] . Power System Technology, 2019, 43(06): 2072−2079(in Chinese).

MA Tingting, DENG Wangbo. Analysis of influencing factors of sub/super-synchronous oscillation of direct-drive wind farm based on SVG[J]. Acta Energiae Solaris Sinica, 2023, 44(10): 339−345(in Chinese).

CHEN Honglin, XIONG Xinyao, YU Hao, et al . Analysis on the influence of an SVG on the stability of AC grid-connected offshore wind farms[J ] . Power System Protection and Control, 2022, 50(19): 119−129(in Chinese).

CHENG Hao, GUO Chunyi, DU Dongye, et al . Zoned oscillation suppression method for high-frequency oscillation in doubly fed wind farms [J ] . Proceedings of the CSEE, 2024, 44(22): 8796-8808(in Chinese).

XING Jikui, YUAN Hui, DAI Jiang, et al . Design method of robust adaptive control parameter of SVG to suppress sub/sup-synchronous oscillation caused by new energy [J ] . Electric Power Automation Equipment, 2024, 44(08): 160-167(in Chinese).

XIONG Xiaoling, LUO Bochen, LIU Jingbo, et al . High frequency impedance modeling and oscillation analysis of DFIG-based station considering SVG[J ] . Power System Technology, 2023, 47(07): 2905−2917(in Chinese).

SHAO Bingbing, ZHAO Shuqiang, PEI Jikun, et al . Subsynchronous oscillation characteristic analysis of grid-connected DDWFs via VSC-HVDC system[J ] . Power System Technology, 2019, 43(09): 3344−3355(in Chinese).

ZHANG Zhiqiang, LI Qiutong, YU Hao, et al . Analysis of sub/super-synchronous oscillation of direct-drive offshore wind power grid-connected system via VSC-HVDC[J ] . Journal of Shanghai Jiaotong University, 2022, 56(12): 1572−1583(in Chinese).

LIU Yeqi, GONG Chuanyang, YANG Ling, et al . DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction[J ] . Expert Systems with Applications, 2020, 143(4): 1−12.

李思妍. 直驱风电场经多端柔性直流输电并网系统振荡特性分析[D]. 保定: 华北电力大学, 2022.

YANG L J, CHEN T L. Application of chaos in genetic algorithms[J]. Communications in Theoretical Physics, 2002, 38(2): 168.

Views

171

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Analysis on Harmonic Resonance Amplification Induced by The Integration of AC Submarine Cable in Offshore Wind Farm

The Research on Reliability and Economy Evaluation of Wind Power Collection Systemfor Offshore Wind Farms Considering Multiple Failures of the Electrical Components

Research on Optimal Design of Wind Power Collection System for Offshore Wind Farms Considering the Influence of Obstacles Area

A Study on the Comprehensive Compensation for the Reactive Power and the Negative Sequence by Using SVG in the Traction Substations

Characteristic Analysis of Near-fundamental-frequency Oscillations in a PMSG/ PV Integrated System via MMC-HVDC Considering Multitype Dominant Modes

Related Author

Chaohang ZHENG

Hongyu YANG

Xi WU

Hong WANG

Haohui XU

Wen GU

GAO Benfeng

HAO Junwei

Related Institution

Jiangsu Frontier Electric Power Technology Co., Ltd.

School of Electrical Engineering, Southeast University

Key Laboratory of Power System Protection and Dynamic Security Monitoring and ControlNorth China Electric Power University

Department of Electrical Engineering, Shanghai Jiaotong University

AI问答

⁰