Digital twin enabled autonomous decision-making method for low-delay services in distribution network

Linyu Peng; Qing Liu; Xu Liu; Wei Tang; Guanghui Zhang

doi:10.1117/12.2681285

23 May 2023 Digital twin enabled autonomous decision-making method for low-delay services in distribution network

Linyu Peng, Qing Liu, Xu Liu, Wei Tang, Guanghui Zhang

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126453Y (2023) https://doi.org/10.1117/12.2681285
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

With the continuous development of distributed energy, the distribution network's demands for flexibility and operation efficiency are improving rapidly. Intelligent distributed network has the advantages of less pollution, high reliability, and high energy utilization, and is widely used in power systems. However, massive devices connected to the distribution network make the service data of the distribution network grow explosively and bring difficulties to the processing and decision-making. This paper proposes a Priority-driven Price Matching algorithm (PP-Matching) based on digital twins, making the cost of establishing matching between the device and the server with more conflicts higher by employing server bidding. Data simulation results show that the proposed algorithm can well solve the problem that the device is difficult to process and obtain service decisions in real time and improve the operation and maintenance management level of distribution network effectively.

Citation Download Citation

Linyu Peng, Qing Liu, Xu Liu, Wei Tang, and Guanghui Zhang "Digital twin enabled autonomous decision-making method for low-delay services in distribution network", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126453Y (23 May 2023); https://doi.org/10.1117/12.2681285

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