Optimized Convolutional Neural Network-Based Adaptive Controller for 6-Phase DFIG-Based Wind Energy Systems

Abstract

This article proposes an optimized convolutional neural network-based adaptive control scheme (OCAC) for DFIG-based wind energy conversion systems. While linear systems can function successfully with the help of a PI controller, the behavior of the system becomes unstable when physical variations are present, rendering the PI controller ineffective. The purpose of this research is to guarantee that the proposed OCAC acquires self-adaptation under all conditions. By accounting for crucial circumstances such as changes in wind speed, fluctuations in generator parameters, and asymmetrical grid faults, the efficiency of OCAC control is proven. The hyperparameters of the deep convolutional neural network are optimized using the flower pollination algorithm, which boosts the network’s speed and precision. In comparison to the non-optimized technique, an overall improvement of 6.3% in training accuracy was attained through the use of the optimized method. Furthermore, the suggested OCAC would forecast the next systemic state and update control strategies of DFIG-based wind energy systems in real-time. The effectiveness of the OCAC is assessed with five different state-of-the-art algorithms under two distinct test scenarios. The simulation was conducted using MATLAB software. A comparison with a PID controller showed that the total harmonic distortion of the grid current decreased by 16.57% and that of the generator current decreased by 12.07%.

Keywords:

• six-phase DFIG
• wind energy systems
• convolutional neural network
• control strategies
• flower pollination optimization algorithm

DISCLOSURE STATEMENT

The authors have no relevant financial or non-financial interests to disclose.

AUTHORS' CONTRIBUTIONS

Arunkumar A: Conceptualization, formal analysis, investigation, project administration, and resources; Agees Kumar C: Conceptualization, methodology, analysis, and writing draft; Murugan S: Technical editing, proofreading, and project administration.

AVAILABILITY OF DATA AND MATERIAL

The datasets gathered during the current study are available from the corresponding author upon reasonable request.

Additional information

Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Notes on contributors

Arunkumar Azhakappan

Arunkumar Azhakappan received the B.E degree in electrical and electronics engineering from Anna university, Chennai, India in 2005 and M.E degree in power electronics and drives from Anna university, Chennai, India in 2007, where he is currently working as an assistant professor in Arunachala College of Engineering for women, Kanyakumari, India. His research interests include analysis, control, protection and application of power converters in renewable energy and distributed generation units and motor drives.

Agees Kumar Chellappan

Agees Kumar Chellappan received the B.E. degree in electronics and instrumentation engineering from the National Engineering College, Kovilpatti, India, the M.E. degree in process control and instrumentation from Annamalai University, Chidambaram, India, and the Ph.D. degree from the Faculty of Electrical and Electronics Engineering, Anna University, Chennai. He is currently a Professor with the department of EEE, Arunachala College of Engineering for Women, Vellichanthai, India. His current research interests include multi-objective optimization, power electronics, electrical drives, and soft computing.

Murugan Sethuramalingam

Murugan Sethuramalingam received his Ph.D. degree in Faculty of Electrical Engineering and M.E degree in Control and Instrumentation Engineering in 2018 and 2005 respectively from Anna University, Chennai. He received the B.E degree in Electronics and Instrumentation Engineering from Manonmaniam Sundaranar University, Tirunelveli in 2002. In 2005 he joined as a lecturer at Kamaraj College of Engineering and Technology, Virudhunagar. From 2007-2010, he serviced in Francis Xavier Engineering College, Tirunelveli. He currently serves as a Professor at Thamirabharani Engineering College, Tirunelveli in the department of Electronics and Communication Engineering. He has published more than 20 journal papers and 2 patents. His research area includes sensor optimization, electrical measurements and instrumentation, soft computing algorithms and control systems.