Research on Multi-Physics Coupling and Data System Architecture in Meta-Universe Power Grid Holographic Simulation

In this paper, a set of intelligent analysis platform for power network simulation data is constructed based on the meta-universe theory. The meaning of data level, information level, knowledge level of the system and the required technical range are discussed in detail. This project will make full use of the supporting role of energy storage equipment to regulate the output and income of the energy network under the conditions of time-sharing price, multiple energy prices, cold and heat load, and new energy connection. Through the introduction of sufficient energy storage equipment, the coverage of virtual power station is gradually expanded, and the micro-grid dispatching unit oriented to green and “zero carbon” emission reduction is built. This model can effectively cooperate with the peak cutting and valley filling between the active distribution network and the virtual power station, and improve the power supply quality of the system, such as absorbing wind and light. Through the simulation test of the interface information conversion algorithm based on radial basis function (RBF), it is proved that the algorithm has good computational efficiency and good engineering practical value. Through the coordination and optimization of various energy resources such as distributed energy and “virtual power station”, problems such as peak cutting and valley filling and frequency regulation can be effectively solved.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/iciscae62304.2024.10761566
Primary Topic
Distributed and Parallel Computing Systems
Type
article
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Research on Multi-Physics Coupling and Data System Architecture in Meta-Universe Power Grid Holographic Simulation

Wei Zhang, Wenqing Yang, Wancai Zhang, Nan Zhang et al.
Distributed and Parallel Computing Systems
article

Research on Multi-Physics Coupling and Data System Architecture in Meta-Universe Power Grid Holographic Simulation

Wei Zhang, Wenqing Yang, Wancai Zhang, Nan Zhang, Tao Wang, Jun Yu, Zhen Sun
article en

Abstract

In this paper, a set of intelligent analysis platform for power network simulation data is constructed based on the meta-universe theory. The meaning of data level, information level, knowledge level of the system and the required technical range are discussed in detail. This project will make full use of the supporting role of energy storage equipment to regulate the output and income of the energy network under the conditions of time-sharing price, multiple energy prices, cold and heat load, and new energy connection. Through the introduction of sufficient energy storage equipment, the coverage of virtual power station is gradually expanded, and the micro-grid dispatching unit oriented to green and “zero carbon” emission reduction is built. This model can effectively cooperate with the peak cutting and valley filling between the active distribution network and the virtual power station, and improve the power supply quality of the system, such as absorbing wind and light. Through the simulation test of the interface information conversion algorithm based on radial basis function (RBF), it is proved that the algorithm has good computational efficiency and good engineering practical value. Through the coordination and optimization of various energy resources such as distributed energy and “virtual power station”, problems such as peak cutting and valley filling and frequency regulation can be effectively solved.

NARI Group (China) (CN)
Openalex Percentile: Top 75%
Distributed and Parallel Computing Systems
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Research on Multi-Physics Coupling and Data System Architecture in Meta-Universe Power Grid Holographic Simulation — Wei Zhang, Wenqing Yang, et al. · (2024) | TGRS Research Map | TGRS