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Abstract
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Application of combined heat and power (CHP) units beside the distributed energy resources (DERs) persuades
the power systems via the formation of multi-carrier microgrids (MGs). This paper presents the day-ahead
scheduling of multi-carrier MGs. Renewable distributed generators are known as undeniable parts of modern
power systems, which may increase the chanciness of the system. Information gap decision theory (IGDT)
is applied to address the uncertainties of renewable sources. Moreover, a scenario-based stochastic approach
is used to model the uncertainty of electricity prices in this method. Indeed a hybrid stochastic-IGDT-based
optimization problem is proposed for optimal energy management of multi-carrier MGs. According to this
method, the operation of multi-carrier MGs would be robust against uncertainties and contain a minimum
profit. The proposed problem has been formulated as mixed-integer linear programming (MILP). Finally, the
proposed energy management has been implemented into a sample multi-carrier microgrid. The results showed
that how the MG operator’s risk-averse character can change her/his decision-making.
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