TY - EJOU AU - Sahoo, Buddhadeva AU - Routray, Sangram Keshari AU - Rout, Pravat Kumar AU - Alhaider, Mohammed M. TI - Mathematical Morphology-Based Artificial Technique for Renewable Power Application T2 - Computers, Materials \& Continua PY - 2021 VL - 69 IS - 2 SN - 1546-2226 AB - This paper suggests a combined novel control strategy for DFIG based wind power systems (WPS) under both nonlinear and unbalanced load conditions. The combined control approach is designed by coordinating the machine side converter (MSC) and the load side converter (LSC) control approaches. The proposed MSC control approach is designed by using a model predictive control (MPC) approach to generate appropriate real and reactive power. The MSC controller selects an appropriate rotor voltage vector by using a minimized optimization cost function for the converter operation. It shows its superiority by eliminating the requirement of transformation, switching table, and the PWM techniques. The proposed MSC reduces the cost, complexity, and computational burden of the WPS. On the other hand, the LSC control approach is designed by using a mathematical morphological technique (MMT) for appropriate DC component extraction. Due to the appropriate DC-component extraction, the WPS can compensate the harmonics during both steady and dynamic states. Further, the LSC controller also provides active power filter operation even under the shutdown of WPS condition. To verify the applicability of coordinated control operation, the WPS-based microgrid system is tested under various test conditions. The proposed WPS is designed by using a MATLAB/Simulink software. KW - Model predictive control; mathematical morphological technique; power quality; power reliability; wind power system; sensitive load DO - 10.32604/cmc.2021.018535