An Optimization Model for Condition-Based Maintenance Decision Considering Total Risk of Grid Operation

Abstract:

In the background of condition-based maintenance (CBM), the equipment maintenance levels in a certain state have different choices, which has different impacts on the improvement of the equipment state and maintenance costs, which in turn affects the time schedule of equipment maintenance. Therefore, in this paper the equipment maintenance time and maintenance level are viewed as decision variables to make maintenance schedules. This paper presents a risk-based optimization model for system maintenance scheduling problem, considering the state of equipment, correlations of the equipment and the operation of grid. An optimization model minimizing total risk of grid operation by balancing system maintenance risk and failure risk is established, so that both optimal maintenance level and optimal maintenance time could be determined simultaneously. An example is taken to verify the validity of the model.

• Periodical: Advanced Materials Research (Volume 1055)
• Pages: 383-388
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1055.383
• Online since: November 2014
• Authors: Hui Ren*, Ran Ran Cui, Yan Tang
• Keywords: Condition-Based Maintenance, Maintenance Level Optimizing, Maintenance Time Optimizing, Total Risk of Grid Operation

References

[1] Francis Fung, K.Y. Fung, Y.T. Chan and M.K. Wong. Remarkable benefit realization by application of strategic management in power transformer condition monitoring and diagnostic systems. International Conference on Condition Monitoring and Diagnosis, Beijing, China, April 21-24, (2008).

DOI: 10.1109/cmd.2008.4580343

[2] YAN Xianglian, WANG Chengyu, YANG Ren, et al. Fault diagnosis of high voltage switchgears by decomposition products of SF6. Power System Technology, 2011, 35(12): 118-123.

[3] LIAO Ruijin, WANG Qian, LUO Sijia, et al. Condition assessment model for power transformer in service based on fuzzy synthetic evaluation. Automation of Electric Power Systems, 2008, 32(3).

[4] ZHANG Lizi, HUANG Xianchao, SHU Juan, et al. Design of an Optimization Model for Distribution Network Maintenance Scheduling. Automation of Electric Power Systems, 2005, 29(21).

[5] HUANG Xianchao, ZHANG Lizi, SHU Juan, et al. An Optimization Model for Distribution Network Maintenance Scheduling. Automation of Electric Power Systems, 2007, 31(1).

[6] LI Ming, HAN Xueshan, YANG Ming, et al. Basic concept and theoretical study of condition-based maintenance for power transmission system. Proceedings of the CSEE, 2011, 31(34): 43-52.

[7] PAN Lezhen, LU Guoqi, ZHANG Yan, et al. Condition-based maintenance decision considering risk of comprehensive evaluation. Automation of Electric Power Systems, 2010, 34(11): 28-32.

[8] Bo Xu, Xueshan Han, Yong Wang and Donglei Sun. Risk-based optimization model for system maintenance scheduling, Power system technology, 2012 IEEE international conference.

DOI: 10.1109/powercon.2012.6401315

[9] Roy Billinton , Satish Jonnavithula. A Test System For Teaching Overall Power System Reliability Assessment. IEEE Transactions on Power Systems, Vol. 11, No. 4, November (1996).

DOI: 10.1109/59.544626

[10] R. Billinton, S. Kumar, N. Chowdhury, K. Chu, K. Debnath, L. Goel, E. Khan, P. Kos, G. Nourbakhsh, J. Oteng-Adjei. A reliability test system for educational purposes-basic data. IEEE Transactions on Power Systems, Vol. 4, No. 3, August (1989).

DOI: 10.1109/59.32623