Distribution Network Pricing for Uncertain Load Growth Using Fuzzy Set Theory


Gu, C., Yang, W., Song, Y. and Li, F., 2016. Distribution Network Pricing for Uncertain Load Growth Using Fuzzy Set Theory. IEEE Transactions on Smart Grids, 7 (4), 1932 - 1940.

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    The decarbonization of transport and heating will introduce uncertain smart appliance growth in the power system, which fundamentally challenges traditional network pricing. In this paper, a new long-term distribution network charging is proposed to accommodate uncertain load growth. Instead of using fixed a load growth rate (LGR), it adopts a fuzzy model, developed based on a set of projected deterministic LGRs and confidence levels. This fuzzy model is incorporated into the pricing model through {\alpha } -cut intervals. In order to improve computational efficiency, an analytical pricing approach is introduced. The vertex extension approach is used to build charge membership functions. Thereafter, a common defuzzification approach, center of gravity, is employed to defuzzify membership functions in order to generate deterministic charges. The new approach is benchmarked with two existing standard charging methods on a practical U.K. high-voltage distribution system. Results show that it is effective in capturing the uncertainty in load growth.


    Item Type Articles
    CreatorsGu, C., Yang, W., Song, Y. and Li, F.
    DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
    Research CentresCentre for Sustainable Power Distribution
    EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
    Publisher StatementDistribution_Network_Pricing_for_Uncertain_Load_Growth_using_Fuzzy_Set_Method_Final.pdf: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
    ID Code51148


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