International Journal of New Developments in Engineering and Society, 2023, 7(1); doi: 10.25236/IJNDES.2023.070104.
Li Dongxue1, Jing Yongteng2, Chen Youhui1
1Economic and Technical Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110870, China
2Shenyang University of Technology, Research Institute of Transmission and Transformation Technology, Shenyang 110016, China
Considering the overall environment of the power field, power transformer is one of the most important energy consuming devices in the substation, and the digital analysis technology of power transformer carbon footprint has become one of the hot issues. Taking a certain brand power transformer as an example, the no-load loss, load loss and stray loss of power transformer under different load conditions are calculated and analyzed by using electromagnetic finite element numerical analysis method, and then the digital twin model of power transformer is built. Combined with the digital twin model of power transformer, the carbon footprint of transformer is analyzed. Finally, the economic load coefficient of transformer is determined, and the optimal economic operation mode of substation is established. This method can provide a scientific basis for the construction of digital, low-carbon and energy-saving substations, while meeting the optimal efficiency and the fastest solution.
power transformer; substation; digital twin; carbon footprint; loss; load factor
Li Dongxue, Jing Yongteng, Chen Youhui. Research on optimization strategy of transformer economic operation mode considering digital twin technology. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 1: 25-30. https://doi.org/10.25236/IJNDES.2023.070104.
[1] Gao Yang, He Xing, Ai Qian. Multi Agent Coordinated Optimal Control Strategy for Smart Microgrid Based on Digital Twin Drive [J]. Power System Technology, 2021, 45(07): 2483-2491.
[2] P. Moutis and O. Alizadeh-Mousavi, "Digital Twin of Distribution Power Transformer for Real-Time Monitoring of Medium Voltage From Low Voltage Measurements," in IEEE Transactions on Power Delivery, vol. 36, no. 4, pp. 1952-1963, Aug. 2021
[3] JIANG Youhua, YI Gang, HUANG Rong-chang, et al.Transformer State Detection and Evaluation Technology Based on Multi-source Information Fusion[J].Journal of Shanghai Electric Power University, 2020, 36(05): 481-485.
[4] I. E. Kolesnikov, A. V. Korzhov and K. E. Gorshkov, "Digital Program for Diagnosing the Status of a Power Transformer, 2020 Global Smart Industry Conference (GloSIC), 2020, pp. 315-321.
[5] HE Xing, AI Qian, ZHU Tian-yi, et al. Opportunities and challenges of the digital twin in power system applications[J].Power System Technology, 2020, 44(06): 2009-2019.
[6] XIANG Chenmeng, ZENG Si-ming, YAN Peng, et al.Typical Application and Prospect of Digital Twin Technology in Power Grid Operation[J].High Voltage Technology, 2021, 47(05): 1564-1575.
[7] Yang Dong, Liu Jingru, Yang Jianxin, et al. Carbon footprint analysis of wind turbines based on life cycle assessment [J]. Journal of Environmental Science, 2015, 35 (3): 927-934
[8] Zhao Yanwei, Hong Huanhuan, Zhou Jianqiang, etc. Overview and prospect of research on low carbon design of products [J]. Computer Integrated Manufacturing System, 2013, 19 (5): 897-908
[9] JING Yongteng, WANG Ning, LI Yan, et al. Research on temperature rise of transformer windings with electromagnetic-thermal-flow weak coupling [J].Electric Machines and Control, 2019, 23(10): 41-48.