| 引用本文: | 薛 帅,高厚磊,郭一飞,徐 彬.大规模海上风电场的双层分布式有功控制[J].电力系统保护与控制,2021,49(3):1-9.[点击复制] |
| XUE Shuai,GAO Houlei,GUO Yifei,XU Bin.Bi-level distributed active power control for a large-scale wind farm[J].Power System Protection and Control,2021,49(3):1-9[点击复制] |
|
| 摘要: |
| 传统集中式的风电场有功控制策略在风电场规模较大时面临中央控制器计算负担重、鲁棒性差等问题，完全分布式控制的收敛性受通信延迟和迭代次数的影响显著。为此，提出了一种双层分布式的控制结构。上层控制基于分布式一致性算法进行设计，降低通信系统的建设投资和缓解集中控制器的求解负担。下层控制采用基于模型预测控制(Model Predictive Control, MPC)和交替方向乘子法(Alternating Direction Method of Multipliers, ADMM)的垂直分布式控制策略，提高收敛速度。实验证明，所提方法将大规模带约束的优化问题分解成多个可并行求解的小规模问题，最终实现了最优的控制效果。 |
| 关键词: 大规模海上风电场 分层分布式控制 模型预测控制 ADMM算法 有功控制 |
| DOI：DOI: 10.19783/j.cnki.pspc.200381 |
| 投稿时间：2020-04-11修订日期：2020-06-12 |
| 基金项目:国家自然科学基金项目资助(51877127) |
|
| Bi-level distributed active power control for a large-scale wind farm |
| XUE Shuai,GAO Houlei,GUO Yifei,XU Bin |
| (Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education,
Shandong University, Jinan 250061, China) |
| Abstract: |
| Traditional centralized wind farm active power control strategy has a series of problems such as excessive calculation load on the central controller and too expensive construction of the communication network when the scale of the wind farm is large. The convergence of fully decentralized control is significantly affected by communication delay and the number of iterations. In order to find an active control strategy suitable for large-scale offshore wind farms, this paper combines distributed control and centralized control to transform the traditional single-layer control structure into a bi-level distributed control structure. The upper level control is designed based on a distributed consensus protocol, which reduces the construction investment in the communication system and relieves the solution burden of the centralized controller. The lower level control uses a vertical distributed control strategy based on Model Predictive Control (MPC) and Alternating Direction Multiplier of Multipliers (ADMM) to improve convergence speed. Experiments prove that the proposed method decomposes the large-scale constrained optimization problem into multiple small-scale problems that can be solved in parallel, and finally achieves an optimal control effect.
This work is supported by the National Natural Science Foundation of China (No. 51877127). |
| Key words: large-scale offshore wind farm bi-level distributed control model predictive control ADMM algorithm active power control |
