Abstract
Multi-energy systems are effective means to enhance energy efficiency and enable sustainable cities. This paper proposes an energy hub (EH) model that integrates the energy storage systems, photovoltaic arrays, combined cooling heating and power (CCHP) system and electric vehicles (EVs). Additionally, the vehicle-to-grid (V2G) technology is considered in the proposed model. The optimal real-time scheduling problem of the EH is formulated as a stochastic problem minimizing the total operation cost in a rolling horizon fashion. A chance constrained programming (CCP) model is developed in this paper to handle the uncertainties in the scheduling problem of the EH. Simulation results show that the proposed EH optimization scheduling model with CCP results in lower operation costs.
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.
