This study investigates the performance of Multi-Resolution Optimize Relative Step Size Random Search (MR-ORSSRS) based method in maximizing the total power production of wind farms under circumstances of varying wind directions, turbine failures and non-static wind conditions. With the Horns Rev Wind Farm layout as the basis, the proposed method is compared against the benchmarked Multi-Resolution Stochastic Perturbation Simultaneous Approximation (MR-SPSA). Multi-Resolution (MR) function is further integrated alongside MR-ORSSRS in view of improving the method’s convergence speed. Simulation results hereby show that MR-ORSSRS based method performs MR-SPSA in terms of convergence speed, accuracy and robustness in generating maximum power, even in the cases of deviating wind speeds, turbine failures and varying wind directions.

本研究调查了基于多分辨率优化相对步长随机搜索 (MR-ORSSRS) 的方法在风向变化、涡轮机故障和非静态风力条件下最大化风电场总发电量的性能。以 Horns Rev 风电场布局为基础，将所提出的方法与基准多分辨率随机扰动同时逼近 (MR-SPSA) 进行比较。为了提高方法的收敛速度，多分辨率（MR）功能与MR-ORSSRS进一步集成。仿真结果表明，基于 MR-ORSSRS 的方法在产生最大功率时的收敛速度、准确性和鲁棒性方面执行 MR-SPSA，即使在风速偏离、涡轮机故障和风向变化的情况下也是如此。