DESIGN, OPTIMIZATION, AND PERFORMANCE EVALUATION OF HYBRID MICROGRID SYSTEMS: A COMPREHENSIVE STUDY ON ENERGY MANAGEMENT AND RENEWABLE INTEGRATION

Abstract

As sustainability and de-carbonization issues are getting more and more important all over the world, New energy management systems have to be developed for electrical networks. The powered smart microgrids that use a mix of renewable energy sources are turning out to be one of the ways to power generation that is stable, reliable, and eco-friendly. However, the major difficulties are balancing supply and demand and keeping costs down in real-time because the resources come and go in an unpredictable manner. The research has been done for an energy management scheme for a hybrid microgrid that consists of solar, wind, and battery storage by both theoretical and simulation-based analyses. The proposed control frame uses intelligent techniques like model predictive control, fuzzy logic control, and artificial neural networks for forecasting, scheduling, and optimization of the grid. The MATLAB/Simulink and HOMER Pro simulation environments have been utilized to validate the model proposed under various operational scenarios. The findings indicate that the implementation of an adaptive energy management system can lead to a significant reduction in operational costs, increased use of renewables, and better quality of power. The research also helps to further establish the conceptual framework of the development of microgrids that are eco-friendly and scalable to both rural electrification and urban load support in Pakistan and other developing regions.

Keywords : Smart Microgrid; Hybrid Renewable Energy System; Energy Management; Optimization; Simulation; Sustainability.