Impact of Conductor Temperature Time–Space Variation on the Power System Operational State
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-...
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doaj-2b2c3239fcfb4018acab57c3a31e3b5f2020-11-24T20:51:01ZengMDPI AGEnergies1996-10732018-03-0111476010.3390/en11040760en11040760Impact of Conductor Temperature Time–Space Variation on the Power System Operational StateYanling Wang0Yang Mo1Mingqiang Wang2Xiaofeng Zhou3Likai Liang4Pei Zhang5School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, ChinaSchool of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, ChinaSchool of Electrical Engineering, Shandong University, Jinan 250061, ChinaDepartment of Mechanical-Electrical Engineering, Weihai Vocational College, Weihai 264210, ChinaSchool of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, ChinaSchool of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, ChinaThe 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.http://www.mdpi.com/1996-1073/11/4/760transmission linepower flowmaximum transmission powerconductor temperaturetime–space variation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yanling Wang Yang Mo Mingqiang Wang Xiaofeng Zhou Likai Liang Pei Zhang |
spellingShingle |
Yanling Wang Yang Mo Mingqiang Wang Xiaofeng Zhou Likai Liang Pei Zhang Impact of Conductor Temperature Time–Space Variation on the Power System Operational State Energies transmission line power flow maximum transmission power conductor temperature time–space variation |
author_facet |
Yanling Wang Yang Mo Mingqiang Wang Xiaofeng Zhou Likai Liang Pei Zhang |
author_sort |
Yanling Wang |
title |
Impact of Conductor Temperature Time–Space Variation on the Power System Operational State |
title_short |
Impact of Conductor Temperature Time–Space Variation on the Power System Operational State |
title_full |
Impact of Conductor Temperature Time–Space Variation on the Power System Operational State |
title_fullStr |
Impact of Conductor Temperature Time–Space Variation on the Power System Operational State |
title_full_unstemmed |
Impact of Conductor Temperature Time–Space Variation on the Power System Operational State |
title_sort |
impact of conductor temperature time–space variation on the power system operational state |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2018-03-01 |
description |
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. |
topic |
transmission line power flow maximum transmission power conductor temperature time–space variation |
url |
http://www.mdpi.com/1996-1073/11/4/760 |
work_keys_str_mv |
AT yanlingwang impactofconductortemperaturetimespacevariationonthepowersystemoperationalstate AT yangmo impactofconductortemperaturetimespacevariationonthepowersystemoperationalstate AT mingqiangwang impactofconductortemperaturetimespacevariationonthepowersystemoperationalstate AT xiaofengzhou impactofconductortemperaturetimespacevariationonthepowersystemoperationalstate AT likailiang impactofconductortemperaturetimespacevariationonthepowersystemoperationalstate AT peizhang impactofconductortemperaturetimespacevariationonthepowersystemoperationalstate |
_version_ |
1716803032860065792 |