Robust stochastic optimal operation of an industrial building including plug in electric vehicle, solar‐powered compressed air energy storage and ice storage conditioner: A case study in the city of Kaveh, Iran. Issue 1 (28th February 2022)

• Record Type: Journal Article
• Authors: Doosti, Reza; Sedighizadeh, Mostafa; Sedighizadeh, Davoud; Sheikhi Fini, Alireza
• Is Part Of: IET smart cities. Volume 4:Issue 1(2022)
• Page Start: 56
• Page End: 77
• Publication Date: 2022-02-28
• Subjects: building management systems -- distributed power generation -- energy conservation; Smart cities -- Periodicals; City planning -- Technological innovations -- Periodicals; Cities and towns -- Growth -- Periodicals; Sustainable urban development -- Periodicals; Sustainable development; City planning -- Technological innovations; Cities and towns -- Growth; Periodicals; 307.76
• DOI: 10.1049/smc2.12025
• Languages: English
• ISSNs: 2631-7680

Abstract

Abstract: An optimal day‐ahead operation of a microgrid (MG) based on an energy hub (EH) that is an industrial building, is presented in this paper. The proposed EH includes wind turbine (WT), photovoltaic (PV), triple generation that is combined cooling, heat and power, and salt water desalination. The purpose of solving problem is to lessen the operational and pollution costs limited to several technical restrictions. The EH takes into account plug in electric vehicle (PEV) and an ice storage conditioner (ISC) and together with a thermal energy storage system that is a supplementary energy storage system (ESS). Particularly, the performance and efficacy of the EH operational and pollution costs are studied by considering a solar‐‐powered compressed air energy storage (SPCAES) that is a novel rechargeable and developing ESS. The proposed model takes into account the uncertain behaviour of PV and WT generations together with the thermal, electrical, and cooling demands, which deal with a robust optimisation approach. The suggested robust mix integer linear problem model is figured out using the CPLEX solver in general algebraic modelling system software. The proposed framework is implemented on the industrial building located in the industrial city of Kaveh, Iran. The simulation results show that using ESSs including SPCAES, ISC, and PEVs reduce the total costs (operation and emission costs) by 2.42% in the day‐ahead energy management.