Vol.69, No.2, 2021, pp.1851-1875, doi:10.32604/cmc.2021.018535
OPEN ACCESS
ARTICLE
Mathematical Morphology-Based Artificial Technique for Renewable Power Application
  • Buddhadeva Sahoo1,*, Sangram Keshari Routray2, Pravat Kumar Rout2, Mohammed M. Alhaider3
1 Department of Electrical Engineering, Siksha ‘O’ Anusandhan University, Odisha, 751030, India
2 Department of Electrical Electronics Engineering, Siksha ‘O’ Anusandhan University, Odisha, 751030, India
3 College of Engineering at Wadi Addawaser, Prince Sattam bin Abdulaziz University, 11991, Saudi Arabia
* Corresponding Author: Buddhadeva Sahoo. Email:
Received 11 March 2021; Accepted 14 April 2021; Issue published 21 July 2021
Abstract
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.
Keywords
Model predictive control; mathematical morphological technique; power quality; power reliability; wind power system; sensitive load
Cite This Article
Sahoo, B., Routray, S. K., Rout, P. K., Alhaider, M. M. (2021). Mathematical Morphology-Based Artificial Technique for Renewable Power Application. CMC-Computers, Materials & Continua, 69(2), 1851–1875.
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