Open AccessTypical transmission section searching method considering geographical attributes for large power grids
Author(s) -
Xue Bing,
Duan Jiandong
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8490
Subject(s) - computer science , section (typography) , grid , transmission (telecommunications) , power transmission , electric power transmission , transmission line , partition (number theory) , power (physics) , power grid , boundary (topology) , margin (machine learning) , set (abstract data type) , real time computing , mathematics , telecommunications , engineering , electrical engineering , geometry , mathematical analysis , combinatorics , machine learning , programming language , physics , quantum mechanics , operating system
Aiming at the problem of large number of power grids and the difficulty of on‐line monitoring, a method of on‐line search of typical transmission section considering geographical attributes is proposed. Firstly, the initial partition is divided by the geographical attributes of the station nodes, and the boundary nodes in each partition are further optimised and rationally evaluated to obtain the simplified structure of the grid. Then, the cut‐set search algorithm based on matrix operations of graph theory is used to quickly identify the transmission section in the power grid, and the power transmission section with heavy load and low margin is obtained by using the safety margin index of the power grid, which is regarded as a typical transmission section and used as the key monitoring object of power grid. Finally, an actual power grid and local grid are taken as an example to search for the typical transmission section of the system, which can not only find the section given by the operation mode expert but also find the new section, which verifies the practicability and effectiveness of the method.