Abstract

ABSTRACTThe main objectives in the management of energy systems are to reduce the operation costs and simultaneously increase the reliability indices. The achievement of these aims is among the key challenges that network operators encounter. To overcome this challenge, the current study presents a model in which the reliability criterion is calculated in addition to the well-established technical constraints for an energy hub. In this strategy, reliability evaluations are added to the classical model as new constraints. In other words, the energy hubs can be more appropriately and realistically operated by imposing these limitations. Moreover, in addition to the costs of different energy carriers, the objective function also includes the costs of “energy not supplied” (ENS) for different loads. This approach demonstrates a mixed-integer nonlinear programming (MINLP) technique implemented using the LINDOGlobal solver in GAMS. To examine the efficiency of the proposed method, modeling is performed on a sample energy hub, and the results assessed.

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