Demonstration and validation of the digital twin technology for a regional multi-energy system

Qingsheng Li; Zhen Li; Xueyong Tang; He Yang; Yankan Song

doi:10.1117/12.2680880

23 May 2023 Demonstration and validation of the digital twin technology for a regional multi-energy system

Qingsheng Li, Zhen Li, Xueyong Tang, He Yang, Yankan Song

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126450U (2023) https://doi.org/10.1117/12.2680880
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

As an integrated supply system combining multiple forms of energy, the regional multi-energy system can realize the functions of multi-energy mutual aid and efficient consumption of renewable energy. It is expected to become an important energy supply solution to help achieve the strategic goals of carbon peaking and carbon neutrality. Existing distribution network analysis methods and tools are difficult to apply directly to regional multi-energy systems. This paper systematically combines digital twin technology with the planning and operation of regional multi-energy systems. Based on the core digital twins technologies such as panoramic digital simulation and real-time data interaction, key technologies such as dynamic planning and operation optimization of regional multi-energy systems are proposed. A set of digital twin solutions covering the whole life cycle of regional multi-energy systems is formed. At the same time, to break the bottleneck of digital twin technology in visualization and application, a demonstration and validation scheme for digital twin planning and operation technology of regional multi-energy systems is proposed. Several validation scenarios are designed to demonstrate the effectiveness and superiority of the proposed digital twin solution. And a set of regional multi-energy system digital twin auxiliary decision support software platforms integrating combined cooling, heating, and renewable energy generation facilities has been built in the demonstration area of Hongfeng Lake in Guizhou, China, in which the integration demonstration of key technologies such as digital twin-based planning and optimization has been completed. It has effectively improved the operation economy and the capacity for renewable energy consumption in the demonstration area.

Citation Download Citation

Qingsheng Li, Zhen Li, Xueyong Tang, He Yang, and Yankan Song "Demonstration and validation of the digital twin technology for a regional multi-energy system", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126450U (23 May 2023); https://doi.org/10.1117/12.2680880

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KEYWORDS

Computer simulations

Data modeling

Systems modeling

Mathematical optimization

Instrument modeling

Modeling

Power grids

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