A Dynamic Control Framework for Solar PV-Wind-Battery Hybrid Systems Using MPC, ANFIS and PSO: Enhancing Grid Stability and Renewable Integration

N. Manikandan, C. H. Hussaian Basha, S. Senthilkumar, S. Ananthakumar, E. Dinesh, P. Arunkumar

2025

Abstract

The growing incorporation of renewable energies in power systems demands state-of-the-art grid control techniques to keep stable operations together with fluctuating demand levels. This study develops a state-of-the-art control framework to manage Solar PV-Wind-Battery systems via integration of Model Predictive Control (MPC) together with Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimization (PSO). MPC serves for energy dispatch control during operation time while batteries operate at maximum efficiency due to PSO support and ANFIS implements load adaptation. The assessment framework relies on simulations within the IEEE 33-bus distribution model supplemented by actual collected data from the National Renewable Energy Laboratory (NREL) and Pecan Street. Control advancements produced 98.7% voltage regulation improvement with 93.4% renewable energy utilization while battery performance increased by 92.8% together with a Load Matching Index achievement of 0.91.

Paper Citation

in Harvard Style

Manikandan N., Basha C., Senthilkumar S., Ananthakumar S., Dinesh E. and Arunkumar P. (2025). A Dynamic Control Framework for Solar PV-Wind-Battery Hybrid Systems Using MPC, ANFIS and PSO: Enhancing Grid Stability and Renewable Integration. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 639-647. DOI: 10.5220/0013903300004919

in Bibtex Style

@conference{icrdicct`2525,
author={N. Manikandan and C. Basha and S. Senthilkumar and S. Ananthakumar and E. Dinesh and P. Arunkumar},
title={A Dynamic Control Framework for Solar PV-Wind-Battery Hybrid Systems Using MPC, ANFIS and PSO: Enhancing Grid Stability and Renewable Integration},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={639-647},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013903300004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - A Dynamic Control Framework for Solar PV-Wind-Battery Hybrid Systems Using MPC, ANFIS and PSO: Enhancing Grid Stability and Renewable Integration
SN - 978-989-758-777-1
AU - Manikandan N.
AU - Basha C.
AU - Senthilkumar S.
AU - Ananthakumar S.
AU - Dinesh E.
AU - Arunkumar P.
PY - 2025
SP - 639
EP - 647
DO - 10.5220/0013903300004919
PB - SciTePress