基于构网风机动能存储及功率承载极限的混合风场黑启动控制策略

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  • 1. 华北电力大学,北京 1000962. 中国电建集团中南勘测设计研究院有限公司,湖南 长沙 410014
胡隽璇(1985-),博士生,正高级工程师,从事新能源并网技术研究;E-mail:hujx@msdi.cn
胡隽璇(1985-),博士生,正高级工程师,从事新能源并网技术研究;E-mail:hujx@msdi.cn

网络出版日期: 2025-11-14

Black Start Control Strategy for Hybrid Wind Farms Considering Grid-Forming Wind Turbine Inertial Storage and Power Handling Limits

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  • 1. North China Electric Power University, Beijing 100096,China;2. Powerchina Zhongnan Engineering Co.,Ltd.,Changsha 410019,China

Online published: 2025-11-14

摘要

为提升高比例可再生能源电力系统的黑启动能力,提出一种考虑构网型风力发电机动能存储与功率承载极限的混合风电场黑启动控制策略。该策略基于混合型风电场拓扑,构建构网与跟网风机的协同控制框架,系统推导构网机组的电流-转速与功率-转速边界,提出边界约束下的过载功率响应机制,并建立直流母线充电模型,量化初始动能需求。在此基础上,设计完整的黑启动控制流程,涵盖电压频率建立、功率协调与负荷恢复。仿真验证表明,所提策略能有效实现构网型风机主导下的系统自主建网,并在负载冲击、频率扰动和风速波动中保持有序恢复与稳定运行,具有良好的鲁棒性与适应性。同时降低对储能和外部支撑的依赖,具备良好的工程应用前景。

本文引用格式

胡隽璇1, 2, 陈鹏2, 黄春芳2, 陆强1 . 基于构网风机动能存储及功率承载极限的混合风场黑启动控制策略[J]. 上海交通大学学报, 0 : 1 . DOI: 10.16183/j.cnki.jsjtu.2025.195

Abstract

To enhance the black start capability of power systems with a high penetration of renewable energy, this paper proposes a black start control strategy for hybrid wind farms considering inertial energy storage and power handling limits of grid-forming wind turbines (GFM-WTs). Based on the topology of hybrid wind farms, a coordinated control framework for grid-forming and grid-following wind turbines (GFL-WTs) is developed. The current-speed and power-speed boundary characteristics of GFM-WTs are analytically derived, and an overload response mechanism constrained by these boundaries is proposed. A DC bus charging model is established to quantify the initial inertial energy demand. On this basis, a complete black start control procedure is designed, covering voltage and frequency establishment, power coordination, and load restoration. Simulation results demonstrate that the proposed strategy enables autonomous system restoration under the leadership of GFM-WTs, and maintains orderly recovery and stable operation under load disturbances, frequency fluctuations, and wind speed variations, thereby exhibiting strong robustness and adaptability. Moreover, the method reduces dependence on energy storage and external support, showing promising prospects for engineering applications.
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