Adaptive demand response mechanisms, including real-time pricing and time-of-use tariffs, further enhance economic and environmental sustainability. Each microgrid component is
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Microgrids have emerged as a key interface for tying the power generated by localized generators based on renewable energy sources to the power grid. The conventional power grids are
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The global transition to sustainable energy demands efficient integration of renewable resources and resilient operation of microgrids (MGs). This study aims to develop a cost-effective and
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Economic analyses show that while initial investments are high, long-term operational savings and improved resilience justify the adoption of advanced microgrid solutions when supported
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These AI models maximize the use of renewable energy, reduce wastage, and improve microgrid resilience and responsiveness to supply and demand fluctuations. Experiments demonstrate the
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It can be observed from the result that the best convergence in frequency deviation under load disturbance is achieved using SMC based on optimization approach. Optimization based robust
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A comparative analysis of diverse metaheuristic algorithms for microgrid optimization is provided in this paper, which emulates natural phenomena, such as evolutionary processes and
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Microgrid optimization promotes resilience by reducing the reliance on centralized power grids, which are vulnerable to outages, cyberattacks, and natural disasters.
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Obtaining a better understanding of the microgrid models and the type of optimization technique used by the energy management system (EMS) in microgrids (MGs) is considered as one
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