Stochastic operation and scheduling of energy hub considering renewable energy sources' uncertainty and N-1 contingency

The optimization of energy systems, including various kinds of energies, based on the concepts of energy hub (EH) has received a great deal of attention. Different methods have been introduced for optimization of EH's operation, which considered the uncertainties of distributed renewable energy sources (DRESs). However, a knowledge gap exists in developing a stochastic optimization method, which comprehensively considers the uncertainties of DRESs and different configurations of EH due to outage of sub-systems. In existing methods, it has been assumed that the EH's sub-systems are ideal and they are in-service every time. Therefore, most of the introduced methods have been developed based on the base configuration of EH, while all sub-systems are available. This paper tries to fill such a knowledge gap by proposing a new stochastic optimization method considering different configurations of EH due to N-1 contingency as well as DRESs' uncertainties. The comparison of test results with other available deterministic and probabilistic methods that did not concern the different EH's configurations illustrates the advantages of the proposed method. Test results show that more than 9 % inaccuracy might occur due to non-consideration of different EH's configurations.

Automated summary

This paper introduces a new stochastic optimization method considering different configurations of energy hubs and uncertainties of distributed renewable energy sources. Comparisons with existing deterministic and probabilistic methods show the advantages of the proposed method, highlighting the potential inaccuracies that could occur due to disregarding different configurations.