Department of Electrical Engineering, Indian Institute of Technology (Indian School of Mines) Dhanbad, Jharkhand 826004, India.
Department of Electrical Engineering, Indian Institute of Technology (Indian School of Mines) Dhanbad, Jharkhand 826004, India.
ISA Trans. 2023 Jul;138:720-734. doi: 10.1016/j.isatra.2023.02.013. Epub 2023 Feb 14.
The fast improvement of wind energy conversion technology with optimization algorithms has recently received a lot of attention. However, their slow convergence speed, huge computational load, and low efficiency are the main drawbacks and to improve these disadvantages, a new adaptive fuzzy logic controller strategy is proposed to enhance the low voltage ride-through of the grid-connected doubly fed induction generator during severe grid faults. The rotor side converter and the grid side converter are controlled using an adaptive fuzzy logic controller topology under cascaded structure to improve the performance. The novel application of the 'generalized variable step-size diffusion continuous mixed p-norm' adaptive filtering algorithm is proposed to modify the calibrating factors of the fuzzy logic controllers at a rapid convergence speed with low normalized misalignment error. The proposed adaptive algorithm-based fuzzy logic controller has a better low voltage ride-through improvement capability than that of using the particle swarm optimization-based proportional-integral controller during severe grid disturbances. The convergence speed of the proposed adaptive filtering algorithm is compared to that of existing algorithms such as least mean fourth, least mean square, and continue mixed p-norm algorithms. In addition, a comparison is also made with different common optimization methods. The field-programmable gate array-based real-time experimental results are presented to validate the proposed adaptive control topology.
优化算法的快速改进风能转换技术最近受到了很多关注。然而，它们的收敛速度慢、计算量大、效率低是主要的缺点。为了提高这些缺点，提出了一种新的自适应模糊逻辑控制器策略，以提高在严重电网故障期间并网双馈感应发电机的低电压穿越能力。采用级联结构的自适应模糊逻辑控制器拓扑结构控制转子侧变流器和网侧变流器，以提高性能。提出了“广义变量步长扩散连续混合 p-norm”自适应滤波算法的新应用，以快速收敛速度和低归一化失配误差修改模糊逻辑控制器的校准因子。与在严重电网干扰下使用基于粒子群优化的比例积分控制器相比，基于所提出的自适应算法的模糊逻辑控制器具有更好的低电压穿越改善能力。将所提出的自适应滤波算法的收敛速度与现有算法（如最小均方四、最小均方和连续混合 p-norm 算法）进行了比较。此外，还与不同的常用优化方法进行了比较。给出了基于现场可编程门阵列的实时实验结果，以验证所提出的自适应控制拓扑。
