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Multi Agent System based automated demand side management of a micro-grid

Abstract:

The objective of this paper is to develop a Multi Agent System (MAS) for automated demand response for a solar micro-grid. We consider a grid connected solar micro-grid, which contains two solar units, each contains a local consumer and a solar PV system and a battery. Initially we measure the load patterns and solar power generated in the solar units. Then we use Multi Agent System (MAS) for automated demand response and advanced distributed energy management of solar micro-grid with smart grid frame work. We develop a simulation model 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 autonomously to stabilize and optimize the solar micro-grid. Furthermore, MAS, due to decentralised approach, reduces the timings and increases the operational efficiency. Thus MAS in solar micro-grid energy management leads to economic and environmental optimization. Simulated operation of solar generators and loads are studied by for automated energy management and demand side management. Outcome of the simulation studies demonstrates the effectiveness of proposed MAS in automated energy management of micro-grid.