Micro-grid grid robustness management using multi agent systems

The aim of this paper is to develop a Multi Agent System (MAS) for robustness Management in electrical energy management of a micro-grid. We take into consideration a grid associated micro-grid which contains two systems each contains solar Photo Voltaic (PV) system, wind system, a local consumer, and a battery. Foremost we compute the load trends and solar and wind power produced in the two solar units. Following which we go on to implement grid robustness management using Multi Agent System based distributed energy management of micro-grid with smart grid structure. We develop a simulation model in Java Agent Development Environment (JADE) for dynamic model which takes into account the closely knit nature of solar power, impermanence of load, dynamic appraising of grid and variation of critical loads and choose the best possible action every hour to stabilize and optimize the micro-grid inspite of certain failures. Furthermore, MAS increases the functional efficiency and thereby maximize the power production of solar micro-grid and curtails the operational cost to minimum. Thus MAS in micro-grid leads to optimization of both capital and environmental resources. Simulated working of solar generators and loads are analysed by conducting simulations for the various agent motives. Simulation studies shows the balancing of micro- grid during the grid robustness.