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With the technology development of energy conversion, multi-energy flow containing electricity, gas and heat is becoming tightly integrated in regional integrated energy systems (RIESs). Interactions and complementarities of various energy systems can bring more environmental and economic benefits but also security problems. This paper studies a decomposed solution of multi-energy flow considering operational constraints, the energy coupling part is analyzed with the concept of energy hub (EH). Multi-energy flow calculation is verified in case study under conditions of different disturbance in EH, showing the necessarily of operational constraint concern. In addition, a multi-energy flow regulation is discussed utilizing gas load-pressure sensitivity analysis. [ABSTRACT FROM AUTHOR]

A multi-objective optimal hybrid power flow algorithm was proposed for multi-objective scheduling and management of the integrated community energy system (ICES). Firstly, an energy conversion analysis model for the energy center was developed based on the energy hub model. Then, a multi-objective optimal hybrid power flow algorithm is proposed to minimize the operation cost and total emission of the ICES considering the constraints from unbalanced three-phase electric distribution network, the natural gas network and the energy centers. Numerical results showed that the proposed multi-objective optimal hybrid power flow algorithm can be further used in the optimal day-ahead scheduling for the ICES, which considers the ICES's multiple operation needs in aspects of security, economy and environmental friendliness. [ABSTRACT FROM AUTHOR]

A simple dynamic model to simulate heating/cooling energy consumption in a building was proposed in this paper. The model consists of several transient energy balance equations for external walls and internal air, in which the convective heat transfer, conductive heat transfer and heat storage in the heat transfer process are considered. The proposed model has been implemented utilizing the SIMULINK/MATLAB platform. Then, a model predictive control (MPC) approach for the building Microgrid considering the dynamic thermal characteristics of the building was proposed. The MPC approach aims to minimize the total energy consumption of the building Microgrid by combining the model predictive and the short-term control, and guarantees the customer temperature comfort level at the same time. Two comparative cases are presented to verify the effectiveness of the proposed MPC approach. [ABSTRACT FROM AUTHOR]

A unified management and control model is developed to investigate the response capacity and rapid response capability of different demand-side resources. Firstly, the state models of distributed generations (DGs), electric vehicles (EVs) and thermostatically-controlled loads (TCLs) are established. Then a unified state model of different demand resources is developed for power management and control is developed. A test case is used to validate the effectiveness of the unified management and control model. [ABSTRACT FROM AUTHOR]

A heuristic planning method of electric vehicle (EV) fast charging station on a freeway considering the power flow constraints of the distribution network was proposed. Firstly, the spatial and temporal distribution of EV charging points was determined based on a spatial-temporal model (STM); then the charging demand of candidate fast charging stations was determined based on the Shared Nearest Neighbor (SNN) Clustering algorithm; finally, a heuristic principle was proposed to meet the power flow constraints of the distribution network and the final planning scheme (the location and capacity) was determined. A typical test system was used to verify the validity of the planning method. [ABSTRACT FROM AUTHOR]