Abstract
AbstractThe penetration of renewable energy sources (RS), energy storage, and demand response in energy systems arise challenges for energy management problems. Micro-grid with flexible regulation abilities provides an effective way to solve the problems of RS connected to main grids. This paper proposes a stochastic model in the optimization of demand response program (DRP) of micro-grids which allow simultaneously optimizes both the RS with different technologies and energy storage. The operation cost including costs for purchasing power from the utility grid, the operation cost of RS and energy storage along with emission cost and cost of DRP is minimized in each computed cycle. The uncertainty is modeled by probability density functions, divided into states by the clustering technique and then scenarios are generated by the scenario matrix and reduced in order to reduce the computational burden. The simulation results by the test system show that the proposed model is feasibility and the DRP has significant impacts on efficiency improvement of micro-grids such as reduction of energy cost and emission, and avoidance of connection devices investment.KeywordsDemand response programsOptimal schedulingMicro-gridRenewable sources and uncertainty
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
