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Keywords
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Demand response program, electric vehicle, energy hub, renewable energy sources,
uncertainty.
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Abstract
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In order to make significant progress in the operation of power systems and minimizing cost
and air pollution, multi-carrier energy systems based on the economic and emission problem have been
proposed by implementing various solutions and using different sources. In this study, an energy hub (EH)
system includes a wind turbine (WT), photovoltaic (PV), and EVs that are exchanged energy with energy and
reserve market considering energy, thermal, and gas demand response program is proposed. But these units
due to uncertain behavior create a big problem in balancing between the demand and generated energy. Thus,
the uncertainty of WT, PV, load, and electricity market price are modeled with Mont-Carlo method. Besides
that, all parameters of the EVs with uncertainty behavior are modeled using a new method that classified EVs
based on the capacity of the battery and other features. This method is employed a stochastic optimization
approach to simplify the uncertainty modeling for increasing the system reliability. Hence, two objective
functions, namely economic cost, and environmental cost are considered. Finally, a three-step strategy is
introduced to solve the multi-objective problem as a single objective function. Finally, EH management
performance is investigated by implementing the proposed method and elements.
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