Multi-energy systems(MES)involving networks of different energy carriers can support the balancing of fluctuating renewable generation by co-ordinated joint operation.In this paper,an object-oriented modeling methodol...Multi-energy systems(MES)involving networks of different energy carriers can support the balancing of fluctuating renewable generation by co-ordinated joint operation.In this paper,an object-oriented modeling methodology for planning and operations control of MES based on nodal analysis is proposed.The framework provides the modularity to simulate scenarios with varying network configurations.Based on object-oriented programming,classes are formed with regard to common attributes of the network elements.The instances of classes represent physical network elements,such as buses,lines,and power conversion units.The models of the individual network elements involve adjustable and flexible parameters.This is especially advantageous for scenarios with operatingpoint-dependent efficiencies.The overall framework makes use of a uniform description of the model parameters across the diverse energy carriers.Thus,the methodology is particularly suited for the analysis of MES.The applicability of the modeling framework is demonstrated by two use cases involving a technology campus in Berlin.展开更多
基金This work was supported by the project“Energienetz Berlin Adlershof”(no.03ET1038G)funded by the German Federal Ministry of Economic Affairs and Energy(BMWi).
文摘Multi-energy systems(MES)involving networks of different energy carriers can support the balancing of fluctuating renewable generation by co-ordinated joint operation.In this paper,an object-oriented modeling methodology for planning and operations control of MES based on nodal analysis is proposed.The framework provides the modularity to simulate scenarios with varying network configurations.Based on object-oriented programming,classes are formed with regard to common attributes of the network elements.The instances of classes represent physical network elements,such as buses,lines,and power conversion units.The models of the individual network elements involve adjustable and flexible parameters.This is especially advantageous for scenarios with operatingpoint-dependent efficiencies.The overall framework makes use of a uniform description of the model parameters across the diverse energy carriers.Thus,the methodology is particularly suited for the analysis of MES.The applicability of the modeling framework is demonstrated by two use cases involving a technology campus in Berlin.
