Advanced energy management in virtual power plant using multi agent system

Abstract

The objective of this paper is to develop a Multi Agent System (MAS) for advanced distributed energy management of a solar-wind interconnected micro-grid. This grid connected micro-grid also contains two solar Photo Voltaic (PV) systems, two Wind Turbines each contains a local consumer, a solar PV system and a battery unit. We also consider a Diesel Power Plant that provides considerable power. So, Initially we measure the load patterns, solar power, wind power generated in the two solar and wind units. Then we use Multi Agent System for advanced distributed energy management of this solar-wind micro-grid with smart grid frame work. We develop a simulation model in Java Agent Development Environment (JADE) for distributed, dynamic energy management, which considers the intermittent nature of solar power, wind 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. Outcome of the simulation studies proves the effectiveness of proposed MAS in distributed energy management of solar-wind interconnected micro-grid.