Improvement of methods for determining the location of damage on power lines

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The task of determining the location of damage (OMP) has always been and remains relevant, since its solution is aimed at improving the reliability of energy supply . Algorithmic modeling of power lines plays an important role in solving the problem of determining the location of damage . The adequacy of the power transmission model depends on the accuracy of WMD methods. Existing one- and two-way methods of location are not designed for power transmissions with three or more power nodes and are not adapted to the location of damage on the lines of branch substations. These shortcomings, as well as the presence of multi-end power lines (power lines) of 110-500 kV, make the development and improvement of WMD methods urgent. The presence of additional recharge is associated with the task of preliminary identification of the damaged section of the line. The report presents a solution that uses current voltage control measurements, which are obtained by switching from electrical values at the ends of the power beams to the point of their connection through appropriate algorithmic models. The general case of multilateral WMD is considered, when two types of sites are allocated in the line: feeders and internal. The feeding area moves away from the tires of the system and is observed on one of its sides. Internal area not covered by surveillance. The procedure for determining the site of damage is divided into three stages:1. pairwise combination of observation vectors (both real and virtual) determine virtual measurements at the ends of all sections of the scheme; the line is divided relative to its nodes into three-beam fragments, and by measurements at their ends the damaged area is determined;3. A two-way WMD procedure is performed on the found segment of the model using an algorithmic model of the damaged area and observation vectors at its ends.
LF/894667061/R
Data sheet
- Name of the Author
- Бычков Ю.В.
Козлов В.Н. - Language
- Russian