
Substation Location Selection Using GIS and Improved Matter-Element Extension Method
Author(s) -
Hong Chen,
Jianfeng Zhang,
Xiao Yu Tian,
Yuntian Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1744/4/042188
Subject(s) - site selection , selection (genetic algorithm) , geographic information system , computer science , extension method , data mining , extension (predicate logic) , geography , cartography , artificial intelligence , political science , law , programming language
In order to overcome the subjectivity and limitations of traditional substation site selection methods, and to achieve efficient and visualized substation site selection, this study conducted five candidate site locations to avoid the red line area in the geographic information system, then conducted a comprehensive evaluation of the site’s economics. Using the improved matter-element model, an evaluation index system for substation site selection was established covering four intermediate levels of poor geological treatment costs, vertical layout, policy compensation and special costs, and divided into five evaluation levels: excellent, good, average, and poor, Difference, and then determine each section domain and the object to be evaluated, use programming software to calculate the maximum correlation degree of the five areas to be selected for A, B, C, D, E are 0.9118, 0.8172, 0.9202, 0.9485, 0.8557. Respectively belong to the five levels of poor, general, general, poor, and general. Finally, in the GIS system, according to the economic efficiency of site selection from high to low, it corresponds to “cyan-blue, green, yellow, orange and red” in a gradual colour sequence for the five site selection areas Colouring. The results prove that this method has better early warning and auxiliary decision-making functions for substation site selection.