Researches on the reliability evaluation of integrated energy system based on Energy Hub

In this paper, the concept of Energy Hub was introduced to capture the coupling between multiple energy forms such as electricity, gas, heat and cooling in an Integrated Energy Systems (IESs). The reliability model for Energy Hubs was established based on a Smart Agent Communication (SAC) algorithm. In the model, the energy conversion efficiency, failure rate and repair time for various energy supply systems were considered, and thus the effects of coupling among different energy types on the IES reliability were taken into account. According to the SAC algorithm, an Energy Hub was defined as a smart agent which can communicate with other smart agent. Combined with the Monte Carlo simulation, a reliability evaluation approach is presented based on the SAC algorithm and Energy Hub model. In the presented approach, fault localization, fault isolation, system reconfiguration and fault recovery can be implemented autonomously, which effectively improves the system status assessment efficiency during the reliability evaluation of IESs. Finally, the proposed models and approaches are applied on the multi-paradigm modeling and simulation platform-AnyLogic, and the effectiveness of the model is validated by extensive cases studies.