Impact of Conductor Temperature Time–Space Variation on the Power System Operational State

Yanling Wang, Yang Mo, Mingqiang Wang, Xiaofeng Zhou, Likai Liang and Pei Zhang
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Yanling Wang: School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, China
Yang Mo: School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, China
Mingqiang Wang: School of Electrical Engineering, Shandong University, Jinan 250061, China
Xiaofeng Zhou: Department of Mechanical-Electrical Engineering, Weihai Vocational College, Weihai 264210, China
Likai Liang: School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, China
Pei Zhang: School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, China

Energies, 2018, vol. 11, issue 4, 1-15

Abstract: The conductor temperature of an overhead transmission line varies with time and space, which has an important impact on the system operation. In this paper, the conductor temperature is solved iteratively by the CIGRE heat balance equation. The time–space variation of conductor temperature of a 220-kV transmission line is analyzed using real meteorological data from Weihai. Considering the temporal distribution characteristics, the seasonal model of the conductor temperature is given. Considering the spatial distribution, the mean value model, the weight average model, and the segmentation model are established. The system power flow involving the conductor temperature is established based on the relationship between conductor temperature and transmission line parameters. Through the calculation of power flow and the analysis of the maximum power transmission capability, the accuracy of the segmentation model is verified. The results show that the conductor temperature of overhead lines has obvious time–space variation characteristics. It is necessary to consider the time–space variation when analyzing the operation state of power systems.

Keywords: transmission line; power flow; maximum transmission power; conductor temperature; time–space variation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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