考虑通信延迟与测量噪声的风电场有功功率优化调度

Optimization of Active Power Dispatch in Wind Farms Considering Communication Delays and Measurement Noise

摘要: 当前我国风电行业快速发展，大型风机额定容量高，导致其疲劳损伤累积速度快，降低发电效率，增加风电场维护成本。针对风电场的功率分配问题，考虑实际风电场环境中的噪声和延迟影响，本文采用卡尔曼滤波技术平滑数据，并使用滑动时间窗口技术修正延迟，建立鲁棒优化模型。采用遗传算法在噪声和延迟的情况下优化风电场风机的功率输出，目标是最小化累积疲劳损伤并满足电网调度要求，通过适应度评估、选择、交叉和变异等操作，逐步逼近最优解，提出一种有效的功率调度优化策略ROM-PDWF。本文有效地应对了噪声和延迟对风电场功率调度的影响，确保了功率输出的稳定性和可靠性。

Abstract: The wind power industry in China is rapidly developing, with large wind turbines having high rated capacities, leading to an accelerated accumulation of fatigue damage, reduced power generation efficiency, and increased maintenance costs for wind farms. This paper addresses the power allocation problem in wind farms while considering the impact of noise and delays in real operational environments. We employ Kalman filtering techniques to smooth the data and use sliding time window methods to correct for delays, establishing a robust optimization model. A genetic algorithm is utilized to optimize the power output of wind turbines under the influences of noise and delays, aiming to minimize cumulative fatigue damage while meeting grid scheduling requirements. Through operations such as fitness evaluation, selection, crossover, and mutation, we gradually approach the optimal solution and propose an effective power dispatch optimization strategy, referred to as ROM-PDWF. This study effectively addresses the impact of noise and delays on power scheduling in wind farms, ensuring stability and reliability in power output.