Spatial Load Forecasting of Distribution Network Based on Intuitionistic Fuzzy Entropy and Fuzzy Clustering

Abstract:

Load density index method is one of widely used spatial load forecasting techniques in distribution planning. The determination of load density is a key task for this method. In order to overcome the drawback of traditional method which adopts analogy method to obtain load density and is hard to meet the demand of precision, a new approach based on intuitionistic fuzzy entropy and fuzzy clustering is proposed. The fuzzy clustering analysis is adopted to classify the set of load density and impacting factors into several grades. Then the intuitionistic fuzzy theory is utilized to describe the uncertainty that would appear in the load density selection. According to the intuitionistic fuzzy entropy the grade of load density can be selected, and the load density interval is available by the fuzzy clustering from the grade selected. An example is used to demonstrate the validity of the proposed method.

• Periodical: Advanced Materials Research (Volumes 516-517)
• Pages: 1433-1436
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.516-517.1433
• Online since: May 2012
• Authors: Lu Jie Liu, Yang Fu, Shi Wei Ma, Rong Hu
• Keywords: Distribution Network, Fuzzy Clustering, Intuitionistic Fuzzy Entropy, Intuitionistic Fuzzy Set, Spatial Load Forecasting

References

[1] Willis, H.L, Engel, M.V, Buri, M.J: Computer Applications in Power, Vol. 8, 1995 P.40 – 43.

[2] Brown, R.E, Hanson, A.P, Hagan, D.L: Transmission and Distribution Conference, 1999 IEEE, Vol.1, 11-16 April 1999 P.369 - 373.

[3] Willis, H.L Northcote-Green, J.E.D: Proceedings of the IEEE, Vol. 71, 1983 P.232 – 253.

[4] Yang Fu, Rong Hu, Lan Zhu: Journal of Shanghai University of Electric Power.2006, (22): 36-38, In Chinese.

[5] Xiaoliang Xie: Statistical and decision making. 2005, (11): 57-58, In Chinese.