Intelligent Energy Management System Along With Solar-Wind Hybrid Power Source

Energy management is a vast subject of major significance and complexity. It entails in electing among the integrated set of sources to generate electrical energy that supplies to a set of loads by diminishing losses and expenses. The utilization of sources and consumption rate of loads are coherent, well-integrated and magnitude of the system, the optimal usage of sources must be performed in real-time to avoid power outage. With an increase in demands, there is an increase in improved productivity, which causes a reduction in greenhouse emissions and energy costs that are motivations for organizations to capitalize and implement new energy efficiency technologies and management strategies. This work aims to propose a system which can self-regulate a combined set of power sources namely green energy i.e., Solar-Wind Hybrid System and main grid, and loads organized as a unified group of individual systems, called micro-grid, to augment several measures such as cost-effectiveness and energy efficiency. This prototype is based on the multi-agent automated systems. These micro-grids, individually modelled as a self-directed entity, can interact and make its own decision giving the best outcome.