Journal
SUSTAINABLE CITIES AND SOCIETY
Volume 62, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scs.2020.102417
Keywords
Energy hub; CCHP system; Rolling horizon optimization; Chance constrained programming
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Funding
- U.S. National Science Foundation Industry/University Cooperative Research Center on Grid-connected Advanced Power Electronic Systems (GRAPES) [GR-17-14, GR-18-02]
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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.
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