A Survey of Artificial IntelligenceTechniques for Modeling and Control inWind-PV-Battery Hybrid DistributedEnergy Systems

Abstract

Distributed generation (DG) systems use wind and solar PV for sustainability and decentralised energy production. Hybrid wind-PV-battery systems have complementing generation profiles and energy storage potential. Renewable resource unpredictability makes modelling and controls difficult, limiting performance. AI outperforms traditional forecasting optimization and control methods. This critical review study examines AI-based modelling and control solutions for small-scale wind-PV-battery distributed generating systems.This paper objectively evaluates AI approaches' strengths and weaknesses and discusses their practical applications in renewable resource variability management and energy flow optimization. Its advice is needed by AI solution implementers and researchers researching advances. It shows how AI transforms distributed energy system efficiency, dependability, and sustainability.