A Comprehensive Review: Study of Artificial Intelligence Optimization Technique Applications in a Hybrid Microgrid at Times of Fault Outbreaks

The use of fossil-fueled power stations to generate electricity has had a damaging effect over the years, necessitating need for alternative energy sources. Microgrids consisting renewable source concepts have gained lot consideration in recent years as an because they advances information and communication technology (ICT) increase quality efficiency services distributed resources (DERs), which are environmentally friendly. Nevertheless, microgrids constrained by outbreaks faults, impact on their performance necessitate dynamic management optimization strategies. application artificial intelligence (AI) is gaining momentum vital key at this point. This study focuses comprehensive review applications strategies hybrid optimization, enhancement, analyses fault microgrids. techniques such machine learning (ML), genetic algorithms (GA), neural networks (ANN), fuzzy logic (FL), particle swarm (PSO), heuristic bee colony (ABC), others reviewed various microgrid regression classification study. Applications AI together with benefits, drawbacks, prospects future. coordination maximum penetration energy, solar PV, wind under furthermore reviewed.