Location planning of distributed energy stations based on improved P-median model

The integrated energy system creates the possibility for the interconnection and coordination of different energy sources, and is an effective means to improve the energy use of the system, increase energy efficiency, and reduce environmental pollution. At present, the planning of distributed energy...

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Main Authors: Meng Zhengji, Hao Xiaoguang, Liu Shiyan, Li Jianfeng
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/2021/32/e3sconf_posei2021_02009.pdf
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spelling doaj-41711cdeed3d4422bdc48867c55ab8922021-05-28T12:41:52ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012560200910.1051/e3sconf/202125602009e3sconf_posei2021_02009Location planning of distributed energy stations based on improved P-median modelMeng Zhengji0Hao Xiaoguang1Liu Shiyan2Li Jianfeng3Electric Power Research Institute of State Grid Hebei Electric power CompanyElectric Power Research Institute of State Grid Hebei Electric power CompanyElectric Power Research Institute of State Grid Hebei Electric power CompanyElectric Power Research Institute of State Grid Hebei Electric power CompanyThe integrated energy system creates the possibility for the interconnection and coordination of different energy sources, and is an effective means to improve the energy use of the system, increase energy efficiency, and reduce environmental pollution. At present, the planning of distributed energy stations for integrated energy systems mostly focuses on equipment selection and equipment capacity. However, there are relatively few studies on the location of energy stations and pipeline layout planning. Firstly, this paper proposes a distributed energy station location method based on the improved p-median model, which combines the energy supply path of the energy station with the actual transportation network, and introduces the weight coefficient of multi energy load to reflect the diversity of energy demand of load. Finally, the specific solution method is given, and the rationality and feasibility of the proposed method are verified by an example.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/32/e3sconf_posei2021_02009.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Meng Zhengji
Hao Xiaoguang
Liu Shiyan
Li Jianfeng
spellingShingle Meng Zhengji
Hao Xiaoguang
Liu Shiyan
Li Jianfeng
Location planning of distributed energy stations based on improved P-median model
E3S Web of Conferences
author_facet Meng Zhengji
Hao Xiaoguang
Liu Shiyan
Li Jianfeng
author_sort Meng Zhengji
title Location planning of distributed energy stations based on improved P-median model
title_short Location planning of distributed energy stations based on improved P-median model
title_full Location planning of distributed energy stations based on improved P-median model
title_fullStr Location planning of distributed energy stations based on improved P-median model
title_full_unstemmed Location planning of distributed energy stations based on improved P-median model
title_sort location planning of distributed energy stations based on improved p-median model
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description The integrated energy system creates the possibility for the interconnection and coordination of different energy sources, and is an effective means to improve the energy use of the system, increase energy efficiency, and reduce environmental pollution. At present, the planning of distributed energy stations for integrated energy systems mostly focuses on equipment selection and equipment capacity. However, there are relatively few studies on the location of energy stations and pipeline layout planning. Firstly, this paper proposes a distributed energy station location method based on the improved p-median model, which combines the energy supply path of the energy station with the actual transportation network, and introduces the weight coefficient of multi energy load to reflect the diversity of energy demand of load. Finally, the specific solution method is given, and the rationality and feasibility of the proposed method are verified by an example.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/32/e3sconf_posei2021_02009.pdf
work_keys_str_mv AT mengzhengji locationplanningofdistributedenergystationsbasedonimprovedpmedianmodel
AT haoxiaoguang locationplanningofdistributedenergystationsbasedonimprovedpmedianmodel
AT liushiyan locationplanningofdistributedenergystationsbasedonimprovedpmedianmodel
AT lijianfeng locationplanningofdistributedenergystationsbasedonimprovedpmedianmodel
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