Nuclear power plant preventive maintenance scheduling problem with fuzziness

Abstract EN

Maintenance activity is regarded as the most important key factor for the safety, reliability and economy of a nuclear power plant.

Preventive maintenance refers to set of planned activities which include nondestructive testing and periodic inspection as well as maintenance.

In this paper, we address the problem of nuclear power plant preventive maintenance scheduling with uncertainty.

The uncertainty will be represente d by fuzzy parameters.

The problem is how to determine the period for which generating units of an electric system should be taken off line for planned preventive maintenance over specific time horizon.

Preventive maintenance activity of a nuclear power plant is an important issue as it designed to extend the plant life .

It is more required to review the maintenance not only from the view point of safety and reliability but also economy.

Preventive maintenance program exists to ensure that nuclear safety significant equipment will function when it is supposed to.

Also this problem is extremely important because a failure in a power plant may cause a general breakdown in an electric network.

In this paper a mixed integer programming model is used to express this problem.

In proposed model power demand is taken as fuzzy parameters.

A case study is provided to demonstrate the efficiency of the proposed model.