Research on Overload Capability of Dry Distribution Transformer Based on Hot Spot Temperature Model

Wang, Haifei; Wang, Tingkang; Xue, Manyu; Sun, Jianming; Xiong, Wei; Hou, Yuning

doi:10.1109/icems.2019.8921739

Cited by 4 publications

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Demand Factor Forecasting Method of Design for Communication and Signal Building Electric Systems by Kernel Density Estimation

Xiong¹

2021

J. Phys.: Conf. Ser.

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With the expanding high-speed railway construction scale, the loads along the railway are gradually transformed into electrification, and capacity level of power distribution system of high-speed railway is increasing. The power system for communication and signal loads along the railway is one of the important parts of guaranteeing the reliable operation of the high-speed railway. However, at present, there is no unified standard for transformer capacity design in the electrical design of communication signal building., resulting in the theoretical value of transformer capacity design inconsistent with the actual engineering requirement. To address the problems and formulate a more accurate design standard for the communication and signal building, the load demand factor forecasting of communication and signal building based on based on kernel density estimation with optimal window width is proposed in this paper. Firstly, the topology of the high-speed railway power system is introduced and the principle of demand factor is proposed. Then, the kernel function selection and the optimal window width of the algorithm is proposed to adapt to the estimate the demand factor based on massive samples. Lastly, the experiment is conducted in the trial operating-high-speed railway, the correctness of the forecasting demand factor is verified. And the results are applicable as the reference for electric design of the power loads in high-speed railway in the future.

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Demand Factor Forecasting Method of Design for Communication and Signal Building Electric Systems by Kernel Density Estimation

Xiong¹

2021

J. Phys.: Conf. Ser.

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Analysis of Demand Factor for High Speed Railway Power Transmission Line from Load Measurement Data

Xiong¹,

Ren-gang²

2021

IOP Conf. Ser.: Earth Environ. Sci.

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With the rapid construction of high-speed railway in China and other developing countries, as well as the continuous expansion of its distance and scale, the load of power transmission line along the railway is increased accordingly. However, the existing design standards for power transmission line of high speed railway cannot specify the demand factor for the electrical load supplied by power transmission line, and there is no unified calculation method for the demand factor, resulting in a large difference between the theoretical value and the actual value of transformer capacity and cable section selected for engineering project, which takes huge additional energy penalty from the utility companies. To address the problems and formulate a more accurate selection standard for the load demand factor of high-speed railway power transmission line (HSR-PTL), the demand factor is calculated from the data measured on several typical high-speed railway operating in China. Firstly, the load model of HSR-PTL is proposed. According to the function and characteristics of the several kinds of load in HSR-PTL, each load is classified for load demand modelling. By measuring the load of several typical operating HSR-PTL, based on the proposed model, the value of the required coefficient of each load type based on the measured data is proposed. The calculated demand factor can be applied as an applicable reference for the design of high-speed railway power system.

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Reliability and Overload Capacity of Power Transformers

Gracheva,

Petrova,

Sinyukova

et al. 2023

2023 International Conference on Clean Electrical Power (ICCEP)

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Research on Overload Capability of Dry Distribution Transformer Based on Hot Spot Temperature Model

Cited by 4 publications

References 0 publications

Demand Factor Forecasting Method of Design for Communication and Signal Building Electric Systems by Kernel Density Estimation

Demand Factor Forecasting Method of Design for Communication and Signal Building Electric Systems by Kernel Density Estimation

Analysis of Demand Factor for High Speed Railway Power Transmission Line from Load Measurement Data

Reliability and Overload Capacity of Power Transformers

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