邓祥力,陈聪颖
DENG Xiangli,CHEN Congying

• 1:上海电力大学电气工程学院

摘要(Abstract)：

新能源的功率波动会影响新能源机组参与AFR（主动频率响应）时的调频效果，而且对新能源调频能力的评估也存在不足。为此，提出一种基于分布式模型预测控制的新能源AFR优化方法。在新能源故障区域对新能源机组采用Tube模型预测控制，并通过鲁棒控制障碍函数约束非故障区域的新能源控制参量，形成改进的分布式模型预测控制方法，确保系统内的常规机组和新能源机组在新能源功率波动下进行AFR。此外，通过新能源最优减载率确定，保证新能源具备足够的功率储备和调频能力，从而制定AFR执行策略，实现新能源AFR控制方法的应用。最后，通过含高比例新能源的互联仿真系统验证了该方法能够有效提升新能源的AFR能力。
The power fluctuations of renewable energy sources(RES) adversely affect their frequency regulation performance when participating in active frequency response(AFR), while current assessment methods for RES frequency regulation capability remain inadequate. To address these challenges, this paper proposes an optimized AFR approach for RES based on distributed model predictive control(DMPC). The proposed method employs Tubebased model predictive control(MPC) for RES units within fault-affected areas, while utilizing robust control barrier functions(RCBF) to constrain the control parameters of RES in non-fault zones. This integrated approach establishes an improved distributed MPC framework that ensures both conventional units and RES units can effectively perform AFR amidst renewable power fluctuations. Furthermore, the method determines the optimal load-shedding rate for RES to maintain sufficient power reserve and frequency regulation capacity, thereby formulating an executable AFR strategy. This approach enables practical implementation of RES-based AFR control. Simulation studies on an interconnected power system with high renewable penetration demonstrate that the proposed method significantly enhances the AFR capability of renewable energy sources.

关键词(KeyWords)： 主动频率响应;鲁棒控制障碍函数;Tube模型预测控制;新能源功率储备
AFR;RCBF;Tube-based MPC;renewable energy power reserve

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（52277079）;; 南方电网科技项目（CGYKJXM20220115）

作者(Author): 邓祥力,陈聪颖
DENG Xiangli,CHEN Congying

DOI: 10.19585/j.zjdl.202512003

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