Forecast Model of Transmission Line Sag Based on GA

Zhang, F; Fan, MZ; Yu, XC; Dong, Xingxing; Wy, Wang

doi:10.1088/1742-6596/2158/1/012008

Cited by 1 publication

(1 citation statement)

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“…Most transmission lines are exposed to the environment and operate in challenging working conditions. Harsh weather conditions threaten line security, thereby endangering the grid [ 3 , 4 ]. When lines are supported between two equal rod towers, sags tend to form.…”

Section: Introductionmentioning

confidence: 99%

Transmission Line Sag Measurement and Simulation Research Based on Non-Contact Electric Field Sensing

Zuo

Fan

Ouyang

et al. 2022

Sensors

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Sag is an important indicator of the operational health of a transmission line, and its timely measurement is of great significance to maintain the stability and reliability of power systems. However, traditional contact measurements may be affected by the electromagnetic interference of conductors. In contrast, measurement methods without direct electrical contact with the subject provide greater portability and flexibility. This paper presents a study of a transmission line sag measurement and simulation based on non-contact electric field sensing. The finite element method was used to analyze the conductor distribution, establish the coupling relationships among the electric field, transmission line, and measurement point, propose a sag inverse calculation model, and assess the impact of the transmission line parameter on the curved drooping measurement. Simultaneously, sag measurement schemes for single-round and dual-circuit lines were designed for multi-conductive lines, and measurement array studies were conducted. The vertical component of the electric field in space measured by the array was obtained, which could be used to perform conductor sag measurement simply and efficiently. The proposed method will facilitate the monitoring of the overhead transmission line status, which is conducive to the effective operation of the entire system.

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Section: Introductionmentioning

confidence: 99%