ANALYSIS OF GRID INTEGRATED WIND ENERGY CONVERSION SYSTEM WITH MODERN AGRICULTURE USING ADAPTIVE MOTH FLAME OPTIMIZATION TECHNIQUE
In the article, an adaptive technique is improving the dynamic performance of the grid-integrated Wind Energy Conversion System (WECS). The adaptive technique is Moth Flame Optimization (MFO) Algorithm technique. The proposed method is utilized to analyze the grid-side performances. A cascaded H-bridge Multilevel Inverter (MLI) is proposed to analyze the grid-side variations. For the optimal pulses of cascaded MLI, the proposed adaptive MFO technique is developed and analyzed the grid-side performances. The need of optimal switching operation is to avoid the complexity of the error voltage category. In the controller part, MFO is utilized to improve the gain parameters of the PID controller. The proposed adaptive MFO technique is realized in MATLAB/SIMULINK environment and the dynamic performance is analyzed.