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.

基于能源枢纽（EH）概念的能源系统（包括各种能源）的优化受到了广泛关注。引入了不同的方法来优化EH的运行，其中考虑了分布式可再生能源（DRES）的不确定性。然而，在开发随机优化方法时存在知识差距，该方法综合考虑了DRES的不确定性和EH的不同配置在现有方法中，已经假设EH的子系统是理想的，并且每次都可以使用，因此，大多数引入的方法都是基于EH的基本配置而开发的，而所有子系统都可用。本文试图通过提出一种新的随机优化方法来弥补这种知识缺口，该方法考虑了由于N-1意外事件以及DRES的不确定性而导致的EH的不同配置。将测试结果与不涉及不同EH配置的其他可用确定性和概率性方法进行的比较说明了所提出方法的优势。测试结果表明，由于不考虑不同的EH配置，可能会发生9％以上的不准确性。