Restoration of Power Distribution Systems with Multiple Data Centers as Critical Loads In this paper, a postevent restoration method is proposed for power distribution systems with internet data centers (IDGs) as critical loads. The proposed method is formulated as a mixed integer linear programming (MILP) based optimization model which considers emergency operation decisions in IDGs and restoration decisions in power distribution systems, and can minimize the utility loss of IDGs and other loads during the restoration process. Since the original form of the proposed method may face some problems in practical application such as confidential information sharing and long computing time, a decoupling method is proposed to convert the integrated model into several sequential parts which are operated by power distribution systems or IDGs independently, so that the confidential information sharing issue is solved, and the computing time is significantly reduced. The proposed restoration method is tested on the IEEE 123Bus Feeder with multiple IDGs to illustrate its feasibility and efficiency.

Coordinated RegionalDistrict Operation of Integrated Energy Systems for Resilience Enhancement in Natural Disasters This paper proposes a coordinated regionaldistrict operation of integrated energy system (IES) for enhancing resilience in extreme conditions. A bidirectional flow model is established for regionaldistrict IES with the utilization of powertogas technologies which shows how regional and district IES can jointly enhance the IES resilience. The regional IES cooptimizes power grid and natural gas networks, while the district IES coordinates the energy conversion and storage facilities. The district IES is modeled as an energy hub which supplies electricity to the regional IES. A trilevel twostage robust model is established to accommodate random outages caused by natural disasters in both natural gas and electricity generation and delivery systems. A twolevel algorithm which utilizes Benders decomposition and columnandconstraint generation algorithms is proposed to solve the proposed robust IES problem. Numerical results tested on a 6bus electrical xe2x80x94 6node natural gas system and a modified IEEE RTS79 40node natural gas system show the effectiveness of the proposed model and solution technique for enhancing the IES resilience.