Stochastic-Predictive Energy Management System for Isolated Microgrids PROJECT TITLE :Stochastic-Predictive Energy Management System for Isolated MicrogridsABSTRACT:This paper presents the mathematical formulation and management design of a stochastic-predictive energy management system for isolated microgrids. The proposed strategy addresses uncertainty employing a 2-stage decision method combined with a receding horizon approach. The first stage call variables (unit commitment) are determined using a stochastic mixed-integer linear programming formulation, whereas the second stage variables (optimal power flow) are refined using a nonlinear programming formulation. This novel approach was tested on a changed CIGRE check system under different configurations comparing the results with respect to a deterministic approach. The results show the appropriateness of the tactic to account for uncertainty in the power forecast. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Integrated Modeling and Assessment of the Operational Impact of Power-to-Gas (P2G) on Electrical and Gas Transmission Networks Contribution to Lightning Parameters Study Based on Some American Tropical Regions Observations
