Title :
Quantitatively Estimating & Evaluating Macroscopic Scale of Power Transmission & Distribution Network
Author :
Liu, Y.H. ; Li, X.R. ; Zhu, X.Y. ; Wu, Z.Q. ; Lin, S.J.
Author_Institution :
Dept. of Electr. & Inf. Eng., Hunan Univ., Changsha
Abstract :
In order to estimate & evaluate the macroscopic scale of power transmission & distribution network, transforming capacity, the number of substations, line-length and the number of loops are put forward as scale indexes to describe the planning scale; social electricity consumption, highest load, population, and so on, are put forward as influence factors of the scale indexes. The rule of correlation between scale indexes and their leading influence factors is analyzed with grey theory based on data in statistical yearbooks. And by means of analytic hierarchy process (AHP)-based method, integrated estimation & evaluation model are built up to make reasonable quantitative estimation of transmission & distribution network macroscopic scale of some district in Hunan province in China. The sound result shows that it is a meaningful research on estimating transmission & distribution network macroscopic scale.
Keywords :
distribution networks; grey systems; transmission networks; analytic hierarchy process; grey theory; macroscopic scale; power distribution network; power transmission network; quantitative estimation; social electricity consumption; Capacity planning; Data engineering; Economic indicators; Energy consumption; Power system analysis computing; Power system modeling; Power systems; Power transmission; Statistics; Substations; Analytic hierarchy process (AHP)-based model; Correlation; Grey theory; Macroscopic Scale; Power systems; Power transmission & distribution network; Quantitative Estimation & evaluation;
Conference_Titel :
Power System Technology, 2006. PowerCon 2006. International Conference on
Conference_Location :
Chongqing
Print_ISBN :
1-4244-0110-0
Electronic_ISBN :
1-4244-0111-9
DOI :
10.1109/ICPST.2006.321465
