A 0/1 mixed integer linear programming approach to establish an effective preventive maintenance policy for power plant Online publication date: Sun, 19-Mar-2017
by Nazibul Alam; Md. Faysal Karim; Syed Anwarul Islam; A.M.M. Nazmul Ahsan
International Journal of Industrial and Systems Engineering (IJISE), Vol. 25, No. 4, 2017
Abstract: Most generating unit maintenance scheduling packages consider the preventive maintenance schedule of generating units over a one or two year operational planning period in order to minimise the total operating cost while satisfying system energy requirements and maintenance constraints. This problem consists of ascertaining which generating units must be halt production. The generating unit is to be examined regularly for safety. It is very important because a failure in a power station may cause a general breakdown in an electric network. The main consequence is that the electricity demand of customers will not be satisfied in such cases. Therefore, reliability is the key point used in the methodology presented. The problem is approached as an optimisation issue. The model is developed by determining the objective function which is the net unit power reserve. Some constraints are used to obtain desired output.0/1 mixed integer linear programming is used to solve the model reached. A practical approach is carried out by implementing the model in a power plant. The result obtained is a schedule that allows the efficient organisation of preventive maintenance over a specific time.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com