ENG  Vol.5 No.9 B , September 2013
Maintenance Scheduling of Distribution System with Optimal Economy and Reliability
Abstract
With the continuous expansion of power distribution grid, the number of distribution equipments has become larger and larger. In order to make sure that all the equipments can operate reliably, a large amount of maintenance tasks should be conducted. Therefore, maintenance scheduling of distribution network is an important content, which has significant influence on reliability and economy of distribution network operation. This paper proposes a new model for maintenance scheduling which considers load loss, grid active power loss and system risk as objective functions. On this basis, Differential Evolution algorithm is adopted to optimize equipment maintenance time and load transfer path. Finally, the general distribution network of 33 nodes is taken for example which shows the maintenance scheduling model’s effectiveness and validity.

Cite this paper
S. Hong, H. Li and F. Wang, "Maintenance Scheduling of Distribution System with Optimal Economy and Reliability," Engineering, Vol. 5 No. 9, 2013, pp. 14-18. doi: 10.4236/eng.2013.59B003.
References

[1]   X. Y. Mo, “Research of Optimal Load Transfer Path for Distribution Network Maintenance,” Master Thesis, North China Electric Power University, China, 2006.

[2]   X. C. Huang, “Research on Maintenance Scheduling Problem of Distribution Network,” Ph.D. Thesis, North China Electric Power University, China, 2007.

[3]   T. Sawa, T. Furukawa, M. Nomoto, T. Nagasawa, T. Sasaki, K. Deno and T. Maekawa, “Automatic Scheduling Method Using Tabu Search for Maintenance Outage Tasks of Transmission and Substation System with Network Constraints,” IEEE Power Engineering Society 1999 Winter Meeting, Vol. 2, 1999, pp. 895-900. http://dx.doi.org/10.1109/PESW.1999.747287

[4]   J. X. Huang, Y. P. Bian and W. S. Cai, “Equipment Maintenance Decision-making Research Based Improved RCM Analysis,” Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE) International Conference, 2012, pp. 487-490.

[5]   D. F. Zhao, X. F. Duan and L. Zhang, “Maintenance Scheduling of Power Transmission Equipment Considering Equipment Condition and System Risk, “Journal of Xi’an Jiaotong University, Vol. 46, No. 3, 2012, pp. 84- 89.

[6]   J. J. Huan, G. Wang and H. F. Li, “Risk Assessment of XLPE Power Cables Based on Fuzzy Comprehensive Evaluation Method,” Power and Energy Engineering Conference (APPEEC), 2010, pp. 1-4.

[7]   P. Duan, “Evaluation the Impacts of System Load Demands and Load Rates on System Reliability Performance,” Ph.D. Thesis, Chongqing University, China, 2012.

[8]   N. M. Tabari and S. N. Mahmoudi, “Maintenance Scheduling Aided by a Comprehensive Mathematical Model in Competitive Environments,” International Conference on Power System Technology-Power, Singapore, 2004, pp. 1774-1779.

[9]   J. Wang and F. S. Wang “Optimal Maintenance Strategies for Generation Companies in Electricity Markets with Risk Management,” Transmission and Distribution Conference & Exhibition, Asia and Pacific Dalian, China, 2005, pp. 1-5.

[10]   L. H. Wu, “The Research and Applications of Differential Evolution Algorithm,” Master Thesis, Hunan University, China, 2007.

[11]   M. E. Baran and F. F. Wu, “Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing,” IEEE Transactions on Power Delivery, Vol. 4, No. 2, 1989, pp. 1401-1414. http://dx.doi.org/10.1109/61.25627

 
 
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