کلیدواژهها
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Multi-carrier hub energy system, Time-of-use/real-time-pricing rate of demand, response program, Market price uncertainty, CO2 emission, Renewable energy sources,
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چکیده
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Multi-carrier hub energy system (MCHES) satisfies different energy demands such as heating, cooling, and energy
demand by using different energy sources simultaneously. In this paper, a robust optimization approach
(ROA) is provided for robust scheduling of MCHES considering economic and environmental constraints in the
presence of market price uncertainty and multi-demand response programs (DRPs). In ROA, lower and upper
levels of market price are considered instead of forecasted market price which guarantees the robust scheduling
of the MCHES. The time-of-use (TOU) and real-time-pricing (RTP) rates of DRPs play a vital role in flattening the
load curve with the aim of reducing the total operation cost and CO2 emission. The proposed model is formulated
as robust mixed integer linear programming (RMILP) and solved by General Algebraic Modeling System (GAMS)
platform which has a great advantage in solving the linear programming models. Finally, to assess the effects of
assumed DRPs on robust scheduling of MCHES, three case studies are utilized, and significant results were
obtained.
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