Published Online:July 2025
Product Name:The IUP Journal of Electrical & Electronics Engineering
Product Type:Article
Product Code:IJEEE020725
DOI:10.71329/IUPJEEE/2025.18.3.30-69
Author Name:Ritu K R, Shankarshan Prasad Tiwari and A K Wadhwani
Availability:YES
Subject/Domain:Engineering
Download Format:PDF
Pages:30-69
Microgrid is a creative way to integrate renewable energy and hybrid sources into electrical system. The most important challenges resulting from renewable energy’s intermittent nature are market prices and varying load. Using predicted power pricing and current loading circumstances, this paper presents a sophisticated methodology to optimize the energy management system (EMS) by intelligently managing energy storage and dispatch choices within an integrated grid-battery system. For rule-based decision making, two different approaches are investigated: (1) a heuristic control strategy using modeling state-flow (chart flow); and (2) an LP-based optimization to reduce operating costs and improve energy efficiency. By successfully lowering microgrid running costs by around 19% and reducing surplus energy pulled from the grid by 3.44% to 5.01%, the LP-based optimization framework improves system efficiency and economic sustainability. The suggested EMS approach facilitates better DSM, cost-effective dispatch, and grid resilience by guaranteeing adherence to operational limitations, while dynamically adjusting to changing grid setting conditions. With a systematic method for the smooth integration and validation of EMS control techniques inside a high-fidelity, real-time microgrid simulation environment, the extensive collection of data from this work advances the understanding of microgrid optimization dynamics.
There are not many international agreements to support self-sufficient or hybrid renewable energy technologies.