Multi Agent System based Distributed Energy Management of a Micro-Grid

This paper describes the implementation of Multi Agent System (MAS) for advanced distributed energy management of a solar micro-grid. We consider a grid connected solar micro-grid with two solar Photo Voltaic (PV) systems, and each system contains a local consumer, a solar PV system and a battery. First we measure the load patterns and solar power generated in the two solar units. Then we use Multi Agent System for advanced distributed energy management of solar micro-grid with smart grid frame work. The MAS is implemented in Java Agent Development Environment (JADE) for dynamic energy management, which considers the intermittent nature of solar power, randomness of load, dynamic pricing of grid and variation of critical loads and choose the best possible action every hour to stabilize and optimize the solar micro-grid. Furthermore, MAS increases the operational efficiency, due to decentralised approach and reduced timings. Thus MAS in solar micro-grid energy management leads to economic and environmental optimization. Simulated operation of solar generators and loads are studied by performing simulations under all possible agent objectives. The effectiveness of proposed MAS in distributed energy management of micro-grid is demonstrated in the outcome of the simulation studies.