| 引用本文: | 李 慧,钱 磊,范新桥,等.基于SPSM-MPC的海上风电系统陆上换流站优化控制策略[J].电力系统保护与控制,2026,54(02):48-57.[点击复制] |
| LI Hui,QIAN Lei,FAN Xinqiao,et al.Optimized control strategy for onshore converter stations of offshore wind power systems based on SPSM-MPC[J].Power System Protection and Control,2026,54(02):48-57[点击复制] |
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| 摘要: |
| 海上风电并网系统中基于模块化多电平换流器的陆上换流站，在风电出力突变、设备投切及电网电压跌落等工况下易引发扰动。针对此问题，提出一种融合斜率无源滑模与模型预测控制(slop passivity-based sliding mode-model predictive control, SPSM-MPC)的优化策略。该策略以电流内环控制为核心，采用无源滑模(passivity- based sliding mode, PSM)控制搭建基础框架，通过引入斜率调节机制构建斜率无源滑模(slop passivity-based sliding mode, SPSM)控制策略。并将模型预测控制(model predictive control, MPC)有机嵌入调制算法体系。利用仿真模型对比传统PI、PSM与SPSM-MPC这3种策略在系统正常运行及3种典型扰动工况下的动态性能。结果表明：SPSM-MPC策略可将系统稳态运行输出电流THD降至4.45%，风电出力突变响应时间缩短至2 ms，电网电压跌落工况下有功稳定时间缩短至0.15 s。SPSM-MPC策略通过斜率机制与预测控制的协同作用，有效提升了系统在动态扰动下的鲁棒性，为海上风电并网系统的稳定运行提供了新的控制方案。 |
| 关键词: 风电并网 模块化多电平换流器 无源滑模控制 模型预测控制 最近电平逼近调制 |
| DOI：10.19783/j.cnki.pspc.250491 |
| 投稿时间：2025-05-09修订日期：2025-08-04 |
| 基金项目:北京市自然科学基金项目资助(3232045) |
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| Optimized control strategy for onshore converter stations of offshore wind power systems based on SPSM-MPC |
| LI Hui1,QIAN Lei1,FAN Xinqiao1,WEI Ling2 |
| (1. School of Automation, Beijing Information Science and Technology University, Beijing 102206, China;
2. Electric Power Development Research Institute, CEC, Beijing 100053, China) |
| Abstract: |
| In offshore wind power grid-connected systems, onshore converter stations based on modular multilevel converters are prone to disturbances under operating conditions such as sudden variations in wind power output, equipment switching, and grid voltage sags. To address this issue, an optimized control strategy integrating slope passivity-based sliding mode control and model predictive control (SPSM-MPC) is proposed. The strategy is centered on inner current loop control. A passivity-based sliding mode (PSM) controller is first employed to establish the basic control framework, upon which a slope regulation mechanism is introduced to construct the slope passivity-based sliding mode (SPSM) control strategy. Meanwhile, model predictive control (MPC) is organically embedded into the modulation algorithm framework. Simulation models are used to compare the dynamic performance of three control strategies: conventional PI, PSM, and SPSM-MPC, under normal system operation and three typical disturbance conditions. The results show that the SPSM-MPC strategy reduces the steady-state output current THD to 4.45%, shortens the response time to sudden wind power variations to 2 ms, and reduces the active power stabilization time to 0.15 s under grid voltage sag conditions. Through the synergistic effect of the slope mechanism and predictive control, the SPSM-MPC strategy effectively enhances system robustness under dynamic disturbances, providing a new control scheme for the stable operation of offshore wind power grid-connected systems. |
| Key words: wind power grid connection modular multilevel converter passivity-based slide mode control model predictive control nearest level modulation |
