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Multi-objective scheduling of electric vehicles intelligent parking lot in the presence of hydrogen storage system under peak load management

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  • Jannati, Jamil
  • Nazarpour, Daryoush

Abstract

Despite various challenges and problems, electric vehicle (EV) technologies have been under real attention to be employed in different fields like power systems. Charge/discharge power of such vehicles can help power network to solve some of common problems available in this field like peak time problems. Also, penetration of these vehicles can help operators to enhance environmental performance of power systems. This paper purposed to determined advantages of EVs in power systems and environmental performance. In this paper, a bi-objective optimization model has been proposed for economic operation and environmental performance of intelligent parking lot (IPL) containing EVs under employment of time-of-use (TOU) rates of demand response program (DRP). To solve such a problem, ε-constraint and fuzzy decision making methods are utilized and results representing efficiency and effectiveness of employed techniques are presented for comparison. Studied sample model in this paper is composed of IPL connected to upstream net, renewable and non-renewable resources and hydrogen storage system. An MIP model has been used to model mentioned bi-objective problem and mentioned model is simulated under GAMS. Obtained results from simulations revealed that due to positive implementation DRP, total emission and operation cost of IPL have been reduced up to 3.99% and 1.83%, respectively. This means that both economic and environmental objectives are satisfied.

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  • Jannati, Jamil & Nazarpour, Daryoush, 2018. "Multi-objective scheduling of electric vehicles intelligent parking lot in the presence of hydrogen storage system under peak load management," Energy, Elsevier, vol. 163(C), pages 338-350.
    • Handle: RePEc:eee:energy:v:163:y:2018:i:c:p:338-350
    DOI: 10.1016/j.energy.2018.08.098
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    1. Tostado-Véliz, Marcos & Jordehi, Ahmad Rezaee & Mansouri, Seyed Amir & Jurado, Francisco, 2023. "A two-stage IGDT-stochastic model for optimal scheduling of energy communities with intelligent parking lots," Energy, Elsevier, vol. 263(PD).
    2. Ghappani, Seyyed Aliasghar & Karimi, Ali, 2023. "Optimal operation framework of an energy hub with combined heat, hydrogen, and power (CHHP) system based on ammonia," Energy, Elsevier, vol. 266(C).
    3. Ghiasi, Mohammad, 2019. "Detailed study, multi-objective optimization, and design of an AC-DC smart microgrid with hybrid renewable energy resources," Energy, Elsevier, vol. 169(C), pages 496-507.
    4. Mahyar Alinejad & Omid Rezaei & Reza Habibifar & Mahdi Azimian, 2022. "A Charge/Discharge Plan for Electric Vehicles in an Intelligent Parking Lot Considering Destructive Random Decisions, and V2G and V2V Energy Transfer Modes," Sustainability, MDPI, vol. 14(19), pages 1-22, October.

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