Harbin institute of technology, 92 Xi Da Zhi Jie, Nangang District, Harbin 150001, China.
Math Biosci Eng. 2022 Jun 8;19(8):8288-8303. doi: 10.3934/mbe.2022386.
The increasing integration of large-scale wind power aggravates the difficulty of maintaining system frequency deviations in a certain range. The frequency regulation pressure of conventional generators increases, which requires wind farms to participate in system frequency regulation. In this paper, a multi-area interconnected power system frequency response model with wind power is established. Based on the frequency response model, the state space model of regional interconnected power system is presented. Then, the wind power variogram characteristics are introduced for estimating wind power variations in different time-scales. By predicting the wind power variations in AGC time-scale, a strategy of wind farm participating in AGC system is proposed and performed based on model predictive control (MPC). The control strategy makes the conventional units and wind farms to participate in AGC system coordinately. Simulation results are provided which verifies the feasibility and validity of the proposed strategy.
随着大规模风力发电的不断增加，系统频率偏差维持在一定范围内的难度也越来越大。传统发电机的调频压力增加，这就要求风电场参与系统调频。本文建立了含风力发电的多区域互联电力系统频率响应模型。基于该频率响应模型，提出了区域互联电力系统的状态空间模型。然后，引入风速时变特征量来估计不同时间尺度下的风速变化。通过预测 AGC 时间尺度下的风速变化，提出了一种基于模型预测控制（MPC）的风电场参与 AGC 系统的控制策略。该控制策略使常规机组和风力发电场协调参与 AGC 系统。仿真结果验证了所提策略的可行性和有效性。
