Markov model of different energy conversion systems of tidal current power plants

One of the most important studies in power systems today is reliability studies and examining the failure rate of various power system equipment.Different power plants in the electricity industry as a production sector are important in this regard and various methods have been introduced to investigate the failure of this equipment. Due to the need to protect the environment and prevent destructive effects to the burning of fossil fuels, many countries have turned their attention to the use of clean renewable energy sources to generate electricity. Accordingly, in the power system, various power based on renewable energy such as wind farms, photovoltaics, tides, sea waves, current water, etc. have been developed. In this paper, for the first time, the reliability model of different energy conversion systems of current tidal power plants is introduced. First, different technologies of electricity generation are expressed from the tidal energy of the seas, and then the Markov model of these systems is extracted. In the proposed Markov models, the effect of failure of each of the elements in the energy conversion system on the failure of the whole system is determined and this model can be used to conduct reliability studies of the production system in the presence of these power plants. And determine the various indicators of the reliability of the power system.Absolutely, in the planning and operation of the power system, in addition to considering economic factors, the indicators obtained from reliability studies will be very effective in determining the amount of production related to these power plants. Markov model of each system shows the effect of failure of the components on the failure of the whole system and in the analytical evaluation of the reliability of the power system that indicators such as average time, average energy not provided, etc. at the production level these models need to be used.

Keywords:

Markov model , reliability , tidal power plants , failure rate , repair rate