Corrective short-term transmission maintenance scheduling considering post-contingency restoration

Tian, Nianjie; Dai, Jianhua; Zhu, Lingzi; Wang, Yang; Tan, Zhenfei; Zhong, Haiwang; Liu, Bingqi

doi:10.1109/cieec.2017.8388534

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…Other papers that concern simulation results in transmission systems and reliability are: using interline dynamic voltage restoration [19], a method for the optimization of a power system restoration path [20], a transmission line restoration using an emergency restoration system structure [21], an indication of the maintenance schedule of transmission lines [22], a definition of a restoration strategy in a transmission system during windstorm [23].…”

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confidence: 99%

Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines

et al. 2020

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This paper presents the analysis of power supply restoration time after failures occurring in power lines. It found that the power supply restoration time depends on several constituents, such as the time for obtaining information on failures, the time for information recognition, the time to repair failures, and the time for connection harmonization. All these constituents have been considered more specifically. The main constituents’ results values of the power supply restoration time were analyzed for the electrical networks of regional power supply company “Oreolenergo”, a branch of Interregional Distribution Grid Company (IDGC) of Center. The Delphi method was used for determining the time for obtaining information on failures as well as the time for information recognition. The method of mathematical statistics was used to determine the repair time. The determined power supply restoration time (5.28 h) is similar to statistical values of the examined power supply company (the deviation was equal to 9.9%). The technical means of electrical network automation capable of the reduction of the power supply restoration time have also been found. These means were classified according to the time intervals they shorten.

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confidence: 99%