Abstract
Abstract Information and communication technology (ICT) and the technology of coupling points including power-to-gas (PtG), power-to-heat (PtH) and combined heat and power (CHP) reshape future energy systems fundamentally. To study the resulting multimodal smart energy system, a proposed method is to separate the behavior of the component layer from the control layer. The component layer includes pipelines, power-lines, generators, loads, coupling points and generally all components through which energy flows. In the work at hand, a model is presented to analyze the operational behavior of the component layer. The modeling problem is formulated as state and phase transition functions, which present the external commands and internal dynamics of system. Phase transition functions are approximated by ordinary differential equations, which are solved with integral methods. State transition functions are nonlinear algebraic functions, which are solved numerically and iteratively with a modified Newton–Raphson method. In a proof-of-concept case study, a scenario shows the expected multi-sector effects based on evaluated models.
Highlights
To study the resulting multimodal smart energy system, a proposed method is to separate the behavior of the component layer from the control layer
The modeling problem is formulated as state and phase transition functions, which present the external commands and internal dynamics of system
Phase transition functions are approximated by ordinary differential equations, which are solved with integral methods
Summary
Zusammenfassung: Fortschritte im Bereich der Information- und Kommunikationstechnologien (IKT) sowie Technologien zur Sektorkopplung wie Power-to-Gas (PtG), Power-to-Heat (PtH) und Kraft-Wärme-Kopplung (KWK) beeinflussen die Entwicklung zukünftiger Energiesysteme wesentlich. Coupling points which interlink different energy sectors make the resulting CPES more heterogeneous and deviant from the original specification. The controllers of these systems could not be designed and parametrized uniformly. District heating networks are regional networks of pipelines and components including circulating pumps, pressure control systems and heat exchangers, which deliver heat to end-users within certain pressure and temperature ranges These networks are typically connected to a power plant as the main heat resource; in case, the supplied heat is exceeded by heat demand, the remaining. In addition to passive networks of power-lines, inverter-based generators, synchronous generators and local power transformers are modeled in this study This contribution presents the model development process to an executable MES model with considering the coupling points as active controlling components.
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