| 引用本文: | 崔 挺,李雪萍,颜 畅,等.基于模型预测控制的风电场故障穿越有功无功优化控制策略[J].电力系统保护与控制,2022,50(2):12-20.[点击复制] |
| CUI Ting,LI Xueping,YAN Chang,et al.Active and reactive power optimization control strategy for wind farm fault ride-through based on model predictive control[J].Power System Protection and Control,2022,50(2):12-20[点击复制] |
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| 摘要: |
| 电网故障易造成并网风电场内风力发电机端电压骤变进而导致风力发电机跳闸，威胁风电场的安全运行。提出一种基于模型预测控制(Model Predictive Control, MPC)的风电场故障穿越有功无功优化控制策略。首先，基于下垂控制，根据并网点(Point of Common Coupling, PCC)电压得出故障下的风电场总有功无功参考值。其次，基于风电场的预测状态空间模型与功率-电压灵敏度计算公式，建立以最小化各风力发电机端电压波动为优化目标的基于MPC的优化问题数学模型，求解得到各风力发电机有功无功参考值。在深度故障下，协调控制静止无功发生器(Static Var Generator, SVG)补偿系统无功缺额以维持PCC电压稳定。仿真结果表明，所提控制策略能将PCC点电压与WT端电压快速有效地稳定在可行范围内，提升风电场的故障穿越能力。 |
| 关键词: 风电场 故障穿越控制 有功无功协调 模型预测控制 静止无功发生器 |
| DOI：DOI: 10.19783/j.cnki.pspc.210479 |
| 投稿时间：2021-04-23修订日期：2021-06-23 |
| 基金项目:国家自然科学基金项目(52077065); 国网湖南省电力有限公司重点科技项目(5216A5200003) |
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| Active and reactive power optimization control strategy for wind farm fault ride-through based on model predictive control |
| CUI Ting,LI Xueping,YAN Chang,HUANG Sheng,SHEN Feifan,WANG Ding |
| (1. State Grid Hunan Electric Power Corporation Research Institute, Changsha 410007, China;
2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China) |
| Abstract: |
| Grid events may cause a sudden change in the wind turbine terminal of a grid-connected wind farm, resulting in wind turbine trip, thereby threatening safe operation. To solve this problem, an active and reactive power optimization control strategy for wind farm fault ride-through based on model predictive control (MPC) is proposed. First, the total active and reactive power reference value of the wind farm under fault is obtained through droop control based on the point of common coupling (PCC) voltage. Secondly, based on a prediction state space model of the wind farm and a power-voltage sensitivity calculation formula, the mathematical model of the optimization problem based on MPC is established to minimize the voltage fluctuation at each wind turbine terminal. This problem is solved to obtain the active and reactive power reference value of each wind turbine. In the case of deep faults, the Static Var Generator (SVG) control is coordinated to compensate for the system reactive power shortage to maintain the stability of the PCC voltage. The simulation results show that the proposed control strategy can quickly and effectively stabilize the PCC point voltage and the wind turbine terminal voltage within a reasonable range, improving the fault ride-through capability of the wind farm.
This work is supported by the National Natural Science Foundation of China (No. 52077065). |
| Key words: wind farm fault ride-through control active and reactive power coordination MPC static var generator |
