A new reliability assessment approach to Integrated Energy Systems (IESs) is introduced in this paper. The optimal load curtailment (OLC) algorithm and reliability assessment algorithm are both improved in the proposed approach. For the OLC problem, this paper develops a hierarchical decoupling optimization framework for both the energy hub optimal dispatch and the optimal power flow problems. This feasible solution can make the OLC calculation more efficient and accurate. For the reliability assessment algorithm, an impact-increment based state enumeration (IISE) method is accommodated for IESs to accelerate the reliability assessment process. Also, a reduction technique of higher order contingencies is presented for the reliability evaluation of IESs to further enhance the computational efficiency. Case studies are performed on an IESs test case combined the IEEE-33 bus system with 14-node gas system and a practical case combined the IEEE 118-bus power system with Belgian natural gas network Numerical results demonstrate the efficient and robust performance of the proposed approach. Besides, the impacts of energy conversion process and energy hubs on IESs reliability are analyzed in detail.

本文介绍了一种新的集成能源系统（IESs）可靠性评估方法。该方法改进了最优负荷削减（OLC）算法和可靠性评估算法。针对OLC问题，本文针对能源枢纽最优调度和最优潮流问题开发了一种分层解耦优化框架。这种可行的解决方案可以使OLC计算更加有效和准确。对于可靠性评估算法，IES采用了一种基于影响增量的状态枚举（IISE）方法，以加快可靠性评估过程。此外，提出了一种高阶偶发事件的归约技术，用于IES的可靠性评估，以进一步提高计算效率。案例研究是在IESs测试案例中进行的，该案例结合了IEEE-33总线系统和14个节点的燃气系统，以及一个实际案例，结合了IEEE 118总线电力系统和比利时的天然气网络。数值结果证明了该提议的高效性和鲁棒性方法。此外，还详细分析了能量转换过程和能量枢纽对IES可靠性的影响。