Research and Analysis of Power Equipment Maintenance Strategy Based on Markov Chain
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The maintenance strategy of electric power equipment plays an important role in the normal operation and maintenance of the actual power system. This paper uses the Markov chain to simulate the operation and maintenance of electrical equipment. Combined with big data thinking and cloud computing technology, real-time analysis of massive historical data and online data is realized. In the case of an actual wind turbine as a case, the more accurate Markov chain model of the operation and maintenance of the electrical equipment was established. The model's Markov chain transfer matrix is obtained. A reasonable formula for considering maintenance costs and risk costs is given. And the simulation is carried out by using this formula. The simulation results show that the maintenance strategy is reasonable and feasible, which provides a practical maintenance strategy for the operation and maintenance of power equipment.
Power equipment, Maintenance strategy, Markov chain, Maintenance costs, Operational risk