Research on Reclassification of Power Users for TOU Power Price Based on Fuzzy Clustering


Article Preview

Study on TOU (Time-of-Use) power price in our country almost treats power users as a unified whole, but different categories of users have the different power consumption and way in the actual condition. Therefore, they have different responses to TOU power price. According to the power load features of all kinds of users, the paper presents a solution to reclassify the users using fuzzy clustering algorithm, and provides theoretical basis for implementing categorized TOU power price. Finally comparatively perfect effect is obtained by simulation analysis, and it has great reference value to perfect TOU power price and improve load curve.



Edited by:

Mohamed Othman




L. Luo et al., "Research on Reclassification of Power Users for TOU Power Price Based on Fuzzy Clustering", Applied Mechanics and Materials, Vols. 229-231, pp. 1013-1016, 2012

Online since:

November 2012




[1] M. L. Wang: Research on Demand Side Management, Ph.D. Economics Thesis, Beijing Jiaotong University, China (2011), pp.1-2.

[2] Roos J G and Lane I E: Industrial Power Demand Response Analysis for One - part Real - time Pricing, IEEE Trans on Power Systems Vol. 13 (1998), pp.159-164.


[3] W. Ding, J. H. Yuan and Z. G. Hu: Time-of-use Price Decision Model Considering Users Reaction and Satisfaction Index, Automation of Electric Power Systems Vol. 29 (2005), pp.10-14.

[4] L. Z. Guo, Z. F. Tan and X. J. Li: Demand and Response Based Model and Method for Optimal Design of Time-of-Use Electricity Price, Power System Technology Vol. 30 (2006), pp.24-28.

[5] C. Liu, J.C. Li, J. G. Yao and et al: Analysis of TOU price and its model, Power DSM Vol. 7 (2005), pp.14-17.

[6] D. W. Duan, J. Y. Liu and J. G. Wu: Optimal TOU Retail Pricing Models for Distribution Utility with Risk Management, Automation of Electric Power Systems Vol. 29 (2005), pp.8-12.

[7] Y. L. Ren, J. Li, Z. M. Yang and Y. H. Ji: Study on TOU Power Price Based on Game Theory, Science and Technology Management Research (2006).

[8] X. L. Hua: Design and Realization of Power User Electric Energy Data Acquire System, Master's Thesis, Fudan University, China (2010), pp.9-10.

[9] K. J. Zhu, S. H. Su and J. L. Li: Optimal Number of Clusters and the Best Partition in Fuzzy C-mean, Systems Engineering-Theory & Practice, (2005).