2009•IET Conference PublicationsRequires access

Study and application of decision-making support system for urban distribution network planning of Shanghai

Saiyi Wang, Jianmin Wang, Yinong Li

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Abstract

Combining the daily operations of the utilities, the latest computer technology and the professional technology of distribution network planning, a practical GIS (Geographical Information System) based computer decision-making support system with eight sub systems for urban power distribution network planning is introduced. The models and functions of the system are described. This system has been successfully applied in some real urban power networks. The results show that it cannot only optimize the planning results of urban power distribution network considering many complicated factors, but also reduce the work of computation, analysis and graphic drawing. (4 pages)

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What this paper is about

Combining the daily operations of the utilities, the latest computer technology and the professional technology of distribution network planning, a practical GIS (Geographical Information System) based computer decision-making support system with eight sub systems for urban power distribution network planning is introduced. The models and functions of the system are described. This system has been successfully applied in some real urban power networks. The results show that it cannot only optimize the planning results of urban power distribution network considering many complicated factors, but also reduce the work of computation, analysis and graphic drawing. (4 pages)

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Available abstract

Combining the daily operations of the utilities, the latest computer technology and the professional technology of distribution network planning, a practical GIS (Geographical Information System) based computer decision-making support system with eight sub systems for urban power distribution network planning is introduced. The models and functions of the system are described. This system has been successfully applied in some real urban power networks. The results show that it cannot only optimize the planning results of urban power distribution network considering many complicated factors, but also reduce the work of computation, analysis and graphic drawing. (4 pages)

Key concepts: Computer science, Decision support system, Geographic information system, Electric power system, Work (physics), Network resource planning, Distribution (mathematics), Network planning and design

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