Optimal Configuration Planning of MultiEnergy Systems Considering Distributed Renewable Energy Multienergy systems (MESs) contribute to increasing energy utilization efficiency and renewable energy accommodation by coupling multiple energy sectors. The preferable characteristic of MESs raises the need for optimizing the configuration of MESs across multiple energy sectors at the planning stage. Based on the energy hub (EH) model, this research presents a twostage mixedinteger linear programming approach for district level MES planning considering distributed renewable energy integration. The approach models an MES as a directed acyclic graph with multiple layers. The proposed EH configuration planning procedure includes two stages: 1) optimizing what equipment (e.g., energy converters, distributed renewable energy sources and storages) should be invested in for each layer and 2) optimizing the connection relationships between the invested equipment in each two adjacent layers. The proposed approach is able to optimize both the equipment selection and the MES configuration. It can be applied to both expansion planning and initial planning of MESs from scratch. An illustrative example of planning a typical MES is given. A sensitivity analysis is performed to show the impacts of load profiles, energy prices and equipment parameters on the optimal MES configuration. A case study based on the MES in Beijingu0027s new subsidiary administrative center is conducted using the proposed approach.

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.