Probabilistic Energy Manement of micro-grids with respect to Economic and Environmental Criteria

Abstract

Abstract. Recently, the use of renewable energy such as wind and solar energy has rapidly increased in micro-grids. Due to the fluctuation of wind speed and solar radiation, the scheduling of wind turbines (WTs) and photovoltaic (PV) plants are difficult in micro-grids. In this paper, a probabilistic energy management system (PEMS) is used to optimize the operation of a grid-connected micro-grid via Economic and Environmental Criteria. For optimal operation of WTs and PVs with other DERs, the fluctuations of WT and PV power generation has been considered and a multiobjective probabilistic economic/environmental load dispatch is presented. For optimal operation of the micro-grid, a complete mathematical model for energy storage system (ESS) is introduced. Finally, an efficient improved bacterial foraging-based fuzzy satisfactory optimization algorithm is proposed to solve the multi-objective problem. The results show that the PEMS can optimize total operation cost and net emissions of the micro-grid, simultaneously.