Enhancing Wind Power Generation: A Novel Equilibrium Optimizer Algorithm for Maximum Power Point Tracking in Synchronous Generators under Variable Wind Speed Conditions

DOI

10.2991/978-94-6463-406-8_10How to use a DOI?

Keywords

—Equilibrium Optimizer Algorithm; Maximum Power Point Tracking; Synchronous Generators; Variable Wind Speed Conditions; Permanent Magnet Generators

Abstract

This paper introduces a novel equilibrium optimizer algorithm designed for maximum power point tracking in permanent magnet synchronous generators operating under randomly varying wind speed conditions. The algorithm draws inspiration from controlled volume mass balance modes, enabling dynamic and equilibrium state estimation. The equilibrium optimizer algorithm employs a mutation strategy that balances exploration and exploitation in problem-solving. Each particle updates its concentration with specific terms, defining two critical elements: the best-so-far solution, referred to as the equilibrium candidate, and the equilibrium state, which encourages global domain exploration. To assess the performance of the equilibrium optimizer algorithm-based trackers, we conducted evaluations using MATLAB software. Our study compares the results with two established optimization methods: genetic algorithms and particle swarm optimization. We analyze and compare the algorithm’s performance based on key parameters, including active power and turbine power factor, under varying wind speed conditions. Our findings demonstrate the superiority of the equilibrium optimizer tracker across all examined cases. In summary, this research introduces an innovative equilibrium optimizer algorithm for maximum power point tracking in wind generators, showcasing its effectiveness through comprehensive MATLAB-based evaluations. Comparative analysis against established optimization techniques highlights the algorithm’s superior performance, suggesting its potential for enhancing wind power generation systems.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Efendi Muchtar
AU  - Aldi Rustandi
AU  - Aryo Wibowo Muhammad Sidik
AU  - Riyo Saputra
AU  - Badrudin Badrudin
AU  - Bayu Indrawan
PY  - 2024
DA  - 2024/05/13
TI  - Enhancing Wind Power Generation: A Novel Equilibrium Optimizer Algorithm for Maximum Power Point Tracking in Synchronous Generators under Variable Wind Speed Conditions
BT  - Proceedings of the 2nd International Conference on Consumer Technology and Engineering Innovation (ICONTENTION 2023)
PB  - Atlantis Press
SP  - 46
EP  - 51
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-406-8_10
DO  - 10.2991/978-94-6463-406-8_10
ID  - Muchtar2024
ER  -