Improved performance of battery energy storage in a wind energy conversion system using an optimal PID controller
Author Identifier
Seyyed Morteza Ghamari: https://orcid.org/0000-0001-5082-820X
Mehrdad Ghahramani: https://orcid.org/0000-0002-5926-0996
Daryoush Habibi: https://orcid.org/0000-0002-7662-6830
Asma Aziz: https://orcid.org/0000-0003-3538-0536
Document Type
Conference Proceeding
Publication Title
2024 IEEE 34th Australasian Universities Power Engineering Conference, AUPEC 2024
Publisher
IEEE
School
School of Engineering
Abstract
This article explores the dynamics and transient performance of a Battery Energy Storage System (BESS) connected to the output of a wind energy conversion system. The BESS is integrated into a DC-link, which is powered by a back-to-back converter utilizing droop controllers on both ends. These droop controllers manage the distribution of reactive and active power, maintaining system frequency and voltage stability. Variations in wind turbine speed can lead to fluctuations in the DC-link voltage, affecting the voltage stability on the battery side. To address this, an optimal Proportional-Integral-Derivative (PID) controller, an advanced version of the classical PID controller, is designed. The PID controller gains are optimized using the Antlion Optimization (ALO) algorithm, a modern metaheuristic algorithm known for its effectiveness in constrained problems and diverse search spaces. This optimization enhances the controller's robustness against disturbances, particularly supply voltage variations. To validate the system's performance, Hardware-in-Loop (HIL) Typhon technology is employed, allowing real-time testing of the BESS and power converters under various conditions. This ensures the reliability and effectiveness of the system before actual implementation.
DOI
10.1109/AUPEC62273.2024.10807518
Access Rights
subscription content
Comments
Ghamari, S., Ghahramani, M., Habibi, D., & Aziz, A. (2024, November). Improved performance of battery energy storage in a wind energy conversion system using an optimal PID controller. In 2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC) (pp. 1-6). IEEE. https://doi.org/10.1109/AUPEC62273.2024.10807518