Reliability assessment to determine the optimal forced outage rate of components

Authors

  • Habib Daryabad Sama Technical and Vocational Training College, Islamic Azad University, Islamshahr Branch, Tehran, Iran

Keywords:

Forced Outage Rate, Reliability, Operation, Maintenance, Electric Power Systems

Abstract

Determining the optimal forced outage rate (FOR) ofcomponents can lead to reducing the operational and maintenance costs inelectric power systems. FOR is closely associated with two factors: number ofoutages and duration of outages. Therefore, it is possible to decrease the FORthrough decreasing the number of outages or reducing the duration ofoutages. Decreasing number of outages is usually carried out throughreinforcement of the network and reducing the duration of outages is mainlyperformed through increasing the repair and maintenance groups. Both of theproposed methods to decrease the FOR possess the costs. Therefore, it is verysuitable to find the optimal rate of FOR and avoiding unnecessary costs. Thispaper presents a new methodology to find the optimal rate of FOR. In thisregard, the system reliability is assessed and evaluated from view of FOR andthe optimal rate of FOR is denoted for all components.

References

Abdul Rahman, F., Varuttamaseni, A., Kintner-Meyer, M., Lee, J.C., 2013. Application of fault tree analysis for customer reliability assessment of a distribution power system. Reliab. Eng. System Safety., 111, 76-85.

Ashok Bakkiyaraj, R., Kumarappan, N., 2013. Optimal reliability planning for a composite electric power system based on Monte Carlo simulation using particle swarm optimization. Int. J. Electr. Power Ener. System., 47, 109-116.

Green Ii, R.C., Wang, L., Alam, M., Singh, C., 2013. Intelligent state space pruning for Monte Carlo simulation with applications in composite power system reliability. Eng. Appl. Artific. Intell., 26, 1707-1724.

Koh, L.H., Yong, G.Z., Peng, W., Tseng, K.J., 2013. Impact of Energy Storage and Variability of PV on Power System Reliability. Ener. Proced.,33, 302-310.

Lin, J., Cheng, L., Chang, Y., Zhang, K., Shu, B., Liu, G., 2014. Reliability based power systems planning and operation with wind power integration: A review to models, algorithms and applications. Renew. Susta. Ener. Rev., 31, 921-934.

Nikzad, M., Mozafari, B., 2014. Reliability assessment of incentive- and priced-based demand response programs in restructured power systems. Int. J. Electr. Power Ener. System., 56, 83-96.

Paliwal, P., Patidar, N.P., Nema, R.K., 2014. A novel method for reliability assessment of autonomous PV-wind-storage system using probabilistic storage model. Int. J. Electr. Power Ener. System., 55, 692-703.

Qin, Z., Li, W., Xiong, X., 2013. Incorporating multiple correlations among wind speeds, photovoltaic powers and bus loads in composite system reliability evaluation. Appl. Ener.,110, 285-294.

Rider, M., Garcia, A., Romero, R., 2007. Power system transmission network expansion planning using AC model. IET Generation, Transm. Distr., 1, 731-742.

Safdarian, A., Fotuhi-Firuzabad, M., Aminifar, F., Lehtonen, M., 2014. A new formulation for power system reliability assessment with AC constraints. Int. J. Electr. Power Ener. System., 56, 298-306.

Yssaad, B., Khiat, M., Chaker, A., 2014. Reliability centered maintenance optimization for power distribution systems. Int. J. Electr. Power Ener. System., 55, 108-115.

Published

2014-03-30

How to Cite

Daryabad, H. . (2014). Reliability assessment to determine the optimal forced outage rate of components. Scientific Journal of Pure and Applied Sciences, 3(3), 113-119. Retrieved from http://sjournals.com/index.php/sjpas/article/view/927

Issue

Section

Engineering