Mehdi Motevasel - Department of electrical engineering, Collage of engineering, Shiraz branch, Islamic azad university, Shiraz,Iran

In recent years, the use of renewable energy such as wind and solar energy has rapidly increased in micro-grids.Because of the uncertainty 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 multi-objective probabilistic energy management system isproposed to find the optimal set points of distributed energy resources in a grid-connected micro-grid by consideringEconomic and Environmental Criteria. For considering the uncertainties of wind and solar radiation, the 2m pointestimated method has been considered and an efficient multi-objective probabilistic energy management system ispresented. To optimize the operation of the micro-grid, an Interactive fuzzy satisfactory method is introduced to achievethe best solution for multi-conflicting objectives. Finally, the Particle Swarm Optimization algorithm is used to solvethe multi-objective problem. The results show that the proposed probabilistic energy management system can optimizethe set points of distributed energy resources with respect to economic and environmental considerations.

micro-grid, probabilistic energy management system, distributed energy resources (DERs), Particle SwarmOptimization (PSO) algorithm