Based on the kind of fuel consumed by generation unit, each generation system has different generation
costs and emits various types of greenhouse gases like CO2, SO2 and NO2 to the atmosphere. So,
nowadays in the power system scheduling, emission issue has been turned to be an important factor. In
this paper, in addition to economic performance, emission problem of energy hub system has been also
investigated. Therefore, a multi-objective optimization model has been proposed for cost-environmental
operation of energy hub system in the presence of demand response program (DRP). Weighted sum
approach has been employed to solve the proposed multi-objective model and fuzzy satisfying technique
has been implemented to select the best compromise solution. Implementation of load management
programs presented by DRP shifts some percentage of load from peak periods to off-peak periods to
flatten load curve which leads to reduction of total cost and emission of energy hub system. A mixedinteger linear programming has been used to model the cost-environmental performance problem of
energy hub system and then, GAMS optimization software has been utilized to solve it. A sample energy
hub system has been studied and the obtained results have been compared to validate the effectiveness
of proposed techniques.