@misc{10481/104251,
year = {2025},
month = {4},
url = {https://hdl.handle.net/10481/104251},
abstract = {This study systematically reviews the optimization techniques (OTs) and software
tools (STs) in hybrid microgrid systems (HMGSs) to enhance the efficiency, costeffectiveness,
and energy reliability. An advanced Scopus search was conducted using
core keywords related to microgrids, renewable energy systems, and various OTs and
STs, which identified 4134 relevant documents on OTs. These were classified into classical
(16.87%), metaheuristic (47.12%), and artificial intelligence (AI)-based methods (36.01%),
highlighting the dominance of metaheuristics and the growing role of AI-driven approaches
in handling uncertainties and real-time decision-making. Additionally, 2667 documents
on STs were analyzed, identifying MATLAB/Simulink (65.34%) and HOMER (22.08%)
as the most widely used tools for simulation, modeling, and techno-economic analysis.
This study identifies key research trends, highlights gaps in the optimization strategies,
and emphasizes the need for AI integration, broader adoption of open-source tools, and
scalable optimization frameworks. By mapping the evolution and effectiveness of OTs and
STs, it provides valuable insights for researchers, policymakers, and industry professionals,
supporting the development of sustainable and intelligent HMGS solutions.},
organization = {Wasit
Province, Iraq},
organization = {Grant
C-ING-288-UGR23 funded by Consejería de Universidad, Investigación e Innovación},
organization = {ERDF
Andalusia Program 2021–2027},
publisher = {MDPI},
keywords = {Renewable energy systems},
keywords = {Hybrid microgrid systems},
keywords = {Optimization techniques},
title = {A Systematic Review and Evolutionary Analysis of the Optimization Techniques and Software Tools in Hybrid Microgrid Systems},
doi = {10.3390/en18071770},
author = {Arar Tahir, Kawakib},
}