A Method of Power Supply Mode Selection for Urban Distribution Network Planning Based on Association Rules

Li Cunbin (), Li Shuke () and Liu Yunqi ()
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Li Cunbin: School of Economics and Management, North China Electric Power University, Beijing102206, China
Li Shuke: School of Economics and Management, North China Electric Power University, Beijing102206, China
Liu Yunqi: School of Economics and Management, North China Electric Power University, Beijing102206, China

Journal of Systems Science and Information, 2015, vol. 3, issue 5, 421-433

Abstract: Based on association rules, this article proposed a method for intelligent recommendation of power supply mode, which helps decision-makers in the selection of many schemes. Firstly, a history database which includes the forecasting models and correlative factors was first built and association rule mining was conducted; then combined with the correlative factors in the designated area, the criteria matching in the rules mined were carried out with CBR technique; finally automatic recommendation of the power supply modes was achieved under the given conditions. By application of an example, it is demonstrated that the proposed method can not only automatically analyze the applicability of power supply modes and the intrinsic relationship between correlative factors but also provide, to some extent, theoretical basis for selection of power supply modes and practical utility for urban distribution network planning.

Keywords: distribution network; power supply mode; association rule (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:3:y:2015:i:5:p:421-433:n:4

DOI: 10.1515/JSSI-2015-0421

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