Open AccessComprehensive Evaluation on Economic Performance of Flexible Substation Power Distribution Technology based on BP Neural Network
Author(s) -
Kai Lv,
Yan Lu,
Meng Yang,
Min Yu,
Chuntian Cheng
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/7/072024
Subject(s) - analytic hierarchy process , reliability engineering , reliability (semiconductor) , transformation (genetics) , fuzzy logic , power transmission , artificial neural network , electric power system , computer science , power (physics) , electric power industry , investment (military) , engineering , industrial engineering , systems engineering , operations research , electricity , artificial intelligence , electrical engineering , biochemistry , chemistry , politics , law , political science , gene , physics , quantum mechanics
With improvement of energy utilization level, the effective way of power distribution becomes a key research focus. The traditional rigid power transformation is featured in low transformation efficiency and serious power loss, while the power distribution technology based on flexible substation could exactly solve this problem. This paper, aiming at technical performance, economic benefits, environment impact, policy factors, selects system suitability, transmission efficiency, operational reliability, system transient characteristics, costs, investment efficiency, natural environment impact, social environment impact, and policy influence as evaluation indexes, designs five technical and economic evaluation grade and establishes fuzzy comprehensive evaluation system in combination with analytic hierarchy process (AHP), fuzzy mathematics and BP neural network to analyze the technical economic performance of AC/DC power transformation technology based on flexible substation, and provide references to subsequent project with example verification.