Design And Implementation Of Energy Management Systems By Using Fuzzy Logic

This research offers a comprehensive analysis of the design and implementation of a Fuzzy Logic Controller (FLC) with a moderate level of complexity, specifically including a total of 25 rules. The major goal of the controller is to provide seamless integration into an Energy Management System that is specially customized for a residential microgrid, which is interconnected with the primary electrical grid. The microgrid system is outfitted with sustainable energy sources and has the capability to store energy. The underlying assumption of the system is that the operator lacks control over both the renewable energy generation and the load demand. Instead of using forecasting-based methodologies, the suggested methodology integrates the rate-of-change of energy inside the microgrid and the state of charge (SOC) of the battery to control the power delivered or absorbed by the primary power source. This functionality enables the ability to adjust, reduce, or maintain levels of power. In order to enhance the operational efficiency of the microgrid, adjustments are made to the design features of the controller, specifically focusing on the membership functions and rule- base. The purpose of these enhancements is to optimize a predetermined set of quality criteria that are pertinent to the functioning of the microgrid. This study offers a comparative analysis of several approaches that seek to attain a shared outcome at the simulation level.