Digital Twin Modeling and Simulation of Distributed and Centralized Integrated Energy System on CloudPSS-IESLab

The integrated energy system (IES) plays an increasing significant role in current energy system. Therefore, modeling and simulation of IES become important for operation status prediction and control strategy decision. Currently, there are a series of algorithm focusing on modeling and simulation f...

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Bibliographic Details
Published in2020 IEEE Sustainable Power and Energy Conference (iSPEC) pp. 1550 - 1555
Main Authors Zhou, Qiang, Xiang, Yue, Song, Yankan, Chen, Ying, Shi, Zinan, Yang, Ming
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.11.2020
Subjects
Analytical models
Cloud computing
CloudPSS-IESLab
Computational modeling
Data models
Digital twin
Distributed and Centralized Heating
Integrated Energy System
Predictive models
Topology
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Summary:The integrated energy system (IES) plays an increasing significant role in current energy system. Therefore, modeling and simulation of IES become important for operation status prediction and control strategy decision. Currently, there are a series of algorithm focusing on modeling and simulation for IES, however, the relative software applications are rarely discussed. In this paper, a self-developed cloud computing based digital twin platform, i.e., CloudPSS-IESLab, is introduced. The developed platform incorporates a modeling and topology editor, a time-series energy flow solver and data management module to maintain and analyze the digital twin model for an IES. Based on the platform, distributed and centralized IES cases are modeled, simulated and analyzed to validate the performance.
DOI:10.1109/iSPEC50848.2020.9351032