Distributed Control Based Multi Agent System for Energy Management of Hybrid Microgrids System

Systems for power generation which can be installed at the customer’s premises are termed as Microgrids. These comprise, generating sets of various capacities and modes, which cater to the captive consumption and on surplus, feedback to the grid. Mostly these microgrids comprise of renewable energy sources, as they are trending and becoming popular, worldwide, because of their scope for miniaturization and flexibility in configuration. Sources like PV cells, Wind power, Battery operated systems, are the key ingredients of micro grids. In view of the heterogeneous nature of the sources of power generation, stable operation is vital and is ensured by adopting a Multi Agent System (MAS), which is concerned with modelling and autonomous decision making capabilities. Two micro-grids, each with 1. 5Kw power of wind and 1Kw of solar power, a 24V, 150Ah battery, at a local load are considered under this paper which form the Hybrid Micro Grid System (HMGS). The simulation model is conceptualized in Java Agent Development Environment (JADE) which can manage the heterogeneous system. The consideration of carbon credits in the overall system proved to be environmentally beneficial. HMGS model is designed and constructed by the NREL’s HOMER Pro package, well noted as a commercial optimization tool for the renewable energy systems. The results of CO2 emissions in standalone hybrid microgrid system register a steep fall compared to traditional system with grid.