Advanced Automation in Energy Management of Micro-Grid using Multi Agent System

The objective of this paper is to implement a Multi Agent System (MAS) in Java Agent Development Environment (JADE) for the automation and optimization in advanced distributed energy management of a micro-grid. We consider two grid connected micro-grids each contains wind turbine, solar Photo Voltaic (PV) systems and load. The power generated by solar and wind along with the load variations in the two microgrids are calculated initially and then Multi Agent System is used for distributed energy management of micro-grid, which considers the intermittent nature of solar power, randomness of load, dynamic pricing of grid and variation of critical loads and automatically choose the best possible action every hour to optimize ther micro-grid. The advantages of MAS approach is leveraged through JADE to increase the operational efficiency and thereby maximizes the power production of micro-grid and minimizes the operational cost. Thus MAS in micro-grid obviously leads to economic and environmental optimization of the micro-grid due to its inherent features. Simulated operation of the micro-grids are studied by performing simulations under different agent objectives.