Research on Power Grid Infrastructure Investment Distribution Model Based on Entropy Weight Method

Research on Power Grid Infrastructure Investment Distribution Model Based on Entropy Weight Method

With the development of the national economy, the scale of investment in power grid infrastructure has gradually expanded. The contradiction between the development of high-intensity investment, rigid growth in cost, slowing down of electricity growth, and difficulty in benefit growth has become inc...

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Main Authors: Wang Yun, Yaling Jian, Yang Jie, Tang Yiming, Zhou Ping, Chen Chao
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03049.pdf
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spelling doaj-013db1048c3f44da808d17447060166b2021-05-28T12:41:18ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012530304910.1051/e3sconf/202125303049e3sconf_eem2021_03049Research on Power Grid Infrastructure Investment Distribution Model Based on Entropy Weight MethodWang Yun0Yaling Jian1Yang Jie2Tang Yiming3Zhou Ping4Chen Chao5Economic and Technological Research Institute, State Grid Sichuan Electric Power CompanyEconomic and Technological Research Institute, State Grid Sichuan Electric Power CompanyEconomic and Technological Research Institute, State Grid Sichuan Electric Power CompanyEconomic and Technological Research Institute, State Grid Sichuan Electric Power CompanyEconomic and Technological Research Institute, State Grid Sichuan Electric Power CompanySchool of Economics and Management, North China Electric Power UniversityWith the development of the national economy, the scale of investment in power grid infrastructure has gradually expanded. The contradiction between the development of high-intensity investment, rigid growth in cost, slowing down of electricity growth, and difficulty in benefit growth has become increasingly prominent. The results show that the model can improve the scientificity and rationality of power grid infrastructure investment allocation under the background of operating constraints and capital constraints.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03049.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Wang Yun
Yaling Jian
Yang Jie
Tang Yiming
Zhou Ping
Chen Chao
spellingShingle Wang Yun
Yaling Jian
Yang Jie
Tang Yiming
Zhou Ping
Chen Chao
Research on Power Grid Infrastructure Investment Distribution Model Based on Entropy Weight Method
E3S Web of Conferences
author_facet Wang Yun
Yaling Jian
Yang Jie
Tang Yiming
Zhou Ping
Chen Chao
author_sort Wang Yun
title Research on Power Grid Infrastructure Investment Distribution Model Based on Entropy Weight Method
title_short Research on Power Grid Infrastructure Investment Distribution Model Based on Entropy Weight Method
title_full Research on Power Grid Infrastructure Investment Distribution Model Based on Entropy Weight Method
title_fullStr Research on Power Grid Infrastructure Investment Distribution Model Based on Entropy Weight Method
title_full_unstemmed Research on Power Grid Infrastructure Investment Distribution Model Based on Entropy Weight Method
title_sort research on power grid infrastructure investment distribution model based on entropy weight method
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description With the development of the national economy, the scale of investment in power grid infrastructure has gradually expanded. The contradiction between the development of high-intensity investment, rigid growth in cost, slowing down of electricity growth, and difficulty in benefit growth has become increasingly prominent. The results show that the model can improve the scientificity and rationality of power grid infrastructure investment allocation under the background of operating constraints and capital constraints.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/29/e3sconf_eem2021_03049.pdf
work_keys_str_mv AT wangyun researchonpowergridinfrastructureinvestmentdistributionmodelbasedonentropyweightmethod
AT yalingjian researchonpowergridinfrastructureinvestmentdistributionmodelbasedonentropyweightmethod
AT yangjie researchonpowergridinfrastructureinvestmentdistributionmodelbasedonentropyweightmethod
AT tangyiming researchonpowergridinfrastructureinvestmentdistributionmodelbasedonentropyweightmethod
AT zhouping researchonpowergridinfrastructureinvestmentdistributionmodelbasedonentropyweightmethod
AT chenchao researchonpowergridinfrastructureinvestmentdistributionmodelbasedonentropyweightmethod
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