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Browsing by Author "Samarghandi, Hamed"

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    Modeling a realistic integrated energy hub with growing demand for electric vehicles: The case of the province of Ontario, Canada
    (Elsevier, 2025-01-28) Siroos, Ahmad; Samarghandi, Hamed
    Energy hubs are multi-carrier energy management systems that efficiently distribute various forms of energy, reducing losses and environmental pollution. This paper examines Ontario, Canada, as a major energy hub, using a typical fall day pattern for energy demand. The model includes all power generation sources in Ontario: photovoltaic (PV), wind turbine (WT), nuclear, hydro, biofuel, and natural gas power plants. It also integrates the charging and discharging of electric vehicles (EVs) within the energy distribution framework. Managing the intrinsic uncertainty of the parameters is crucial for efficient operation. This study employs probabilistic functions to account for the arrival and departure hours of EVs, controlled using the Conditional Value at Risk (CVaR) method. Three methods, Information Gap Decision Theory (IGDT) with risk-seeking and risk-averse behaviors, and robust optimization, address uncertainties such as wind and solar electricity production, energy prices, and electrical, heating, and cooling demands. We compare simulation results of three scheduling scenarios for optimal energy production and dispatch. The RS-IGDT method can lead to significant losses during peak hours due to fluctuations. The robust method incurs higher costs by planning for large deviations. The RA-IGDT method balances deviations without the pessimism of the robust method, making it the recommended approach.