| 引用本文: | 李忠文,李夏乐,柏宁宁,等.考虑参数不确定性的新型电力系统分布式模型预测AGC方法研究[J].电力系统保护与控制,2026,54(02):36-47.[点击复制] |
| LI Zhongwen,LI Xiale,BAI Ningning,et al.Distributed model prediction AGC method for new power systems considering parameter uncertainty[J].Power System Protection and Control,2026,54(02):36-47[点击复制] |
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| 摘要: |
| 随着新能源渗透率不断提高，新型电力系统转动惯量降低和参数波动性提高等特征越来越突出，若仅依靠传统调频资源将会出现调频能力不足的问题。电力电子化调频资源具有更快的响应速度，这为实现新型电力系统快速调频提供了一种机遇。因此，提出一种电力电子化分布式调频资源与传统旋转机组协同调频方案。然而，电力电子化机组分布式特征明显，并且随着系统中新能源渗透率的波动，系统惯量及频率响应特性也会随之改变。为此，考虑参数不确定性，设计了适应分布式异质多源协同调频的新型电力系统分布式模型预测自动发电控制(automatic generation control, AGC)方法。所提分布式模型预测控制可以充分发挥快速调频资源的快速调频潜力，迅速抑制系统频率波动。另外，设计了一种在线事件触发参数辨识方法，保证系统关键参数发生剧烈变化的情况下，模型预测控制器能够及时更新系统参数进行精准预测控制。最后，通过设计不同的场景进行仿真研究，结果证实了所提方法能够有效提高系统调频性能，并且达到期望的效果。 |
| 关键词: 新型电力系统 自动发电控制 快速调频资源 分布式模型预测控制 在线事件触发参数辨识 |
| DOI：10.19783/j.cnki.pspc.250309 |
| 投稿时间：2025-03-31修订日期：2025-08-25 |
| 基金项目:国家自然科学基金面上项目资助(62273312)；河南省优秀青年科学基金项目资助(232300421094)；中原科技创新青年拔尖人才项目资助；郑州大学博士后科学基金项目资助(22120016) |
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| Distributed model prediction AGC method for new power systems considering parameter uncertainty |
| LI Zhongwen1,LI Xiale1,BAI Ningning1,CHENG Zhiping1,LIU Xiaoyu2 |
| (1. College of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China;
2. China Electric Power Research Institute, Beijing 100192, China) |
| Abstract: |
| With the continuously increasing penetration of renewable energy, new power systems are increasingly characterized by reduced rotational inertia and heightened parameter variability. Relying solely on traditional frequency regulation resources may therefore lead to insufficient frequency control capability. Power-electronic-based frequency regulation resources offer much faster response speeds, providing an opportunity to realize rapid frequency regulation in new power systems. Accordingly, this paper proposes a coordinated frequency regulation strategy combining power-electronic-based distributed frequency regulation resources with conventional synchronous generators. However, power-electronics-based units exhibit pronounced distributed characteristics, and as renewable energy penetration fluctuates, system inertia and frequency response characteristics also change accordingly. To address these issues, a novel distributed model predictive automatic generation control (AGC) strategy for new power systems is developed, which accommodates parameter uncertainty and is suitable for distributed, heterogeneous, multi-source coordinated frequency regulation. The proposed distributed model predictive control strategy can fully exploit the fast frequency regulation potential of rapid-response resources, enabling prompt suppression of system frequency fluctuations. Moreover, an online event-triggered parameter identification method is designed to ensure that, when key system parameters undergo significant changes, the model predictive controller can timely update system parameters to achieve accurate predictive control. Finally, simulation studies under various scenarios demonstrate that the proposed method significantly enhances frequency regulation performance and achieves the expected outcomes. |
| Key words: new power system automatic generation control fast frequency regulation resources distributed model predictive control online event-triggered parameter identification |
