Maintenance strategies of Wind Turbines in Developing countries

wind energy has been considered to be one of the main participants in supplying global energy needs.The cost of energy metric accounts for the effect of reliability through levelized replacement cost and unscheduled maintenance cost parameters .In this paper, an analysis of the performance, failure and reliability, focusing on a spare parts analysis have been conducted for a wind turbine. reliability effort is to facilitate design improvements and improve operations and reduce maintenance costs, thus reducing financial and technical risks. significant uncertainty exists in the field of wind farm operation and maintenance (O&M) in developing countries. In order to investigate this uncertainty as well as explore the feasibility of novel O&M strategies, simulation is conducted. Monte Carlo Markov Chain method is applied in order to arrive to an optimal strategy of maintenance in a country where spare parts are a major problem for the reliability and availability of wind turbines; that is availability of energy

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J. Endrenyi, G.J. Anders, A.M. Leite da Silve, Probabilistic evaluation of the effect of maintenance on reliability — an application, IEEE Trans.Power Syst. 13 (2) (1998) 576–583.
S.Karekezi,W. K. Afrepren, Renewable Energy Development, The Workshop for African Energy Experts on Operationalizing the NEPAD Energy Initiative, 2-4 June, 2003, Novotel, Dakar, Senegal.
J, P. Painuly, Barriers to renewable energy penetration; a framework for analysis, Renewable Energy 24I(2001) 73- 89..
G.J. Anders, Probability Concepts in Electric Power Systems, John Wiley & Sons, 1990.
J. Xue, K. Yang, Dynamic reliability analysis of coherent multistate systems, IEEE Trans. Reliab. 44 (4) (1995). M. J. Zuo, R. Jiang, R.C. Yam, Approach for reliability modelling of continuous-state devices, IEEE Trans. Reliab. 48 (1) (1999).
Y. S. Sherif, M.L. Smith, Optimal maintenance models for systems subject to failure — a review, Nav. Res. Log. Quart. 28 (1) (1981) 47–74.
M.L. Puterman, Markov Decision Processes: Discrete Stochastic Dynamic Programming, John Wiley & Sons 2005. S.H. Sim, J. Endrenyi, Optimal preventive maintenance with
repair, IEEE Trans. Reliab. 37 (1) (1988) 92–96.
S. Asgarpoor, M.J. Mathine, Reliability evaluation of distribution systems with non-exponential down times, IEEE Trans. Power Syst. 12 (2) (1997) 579–584.
G.K. Chan, Preventive Maintenance with Markov Processes, M.S. Report, Department of Electrical Engineering, University of Nebraska-Lincoln, 1998