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Yayın Developing an effective maintenance policy for control gates in hydroelectric power plants(IEOM Society, 2018) Aktel, Mehmet Burak; Özgür Ünlüakın, DemetEnergy consumption has been increasing rapidly in the world. That is why production of energy from renewable resources is getting more and more important today. Hydroelectric power is the largest source of renewable electricity generation in the world. Countries that have large resources of hydropower use hydroelectricity as a base load energy source because of its secure and reliable energy production. Maintenance scheduling in energy production plants is very crucial since any unexpected malfunction leads to very serious economic losses. It is essential to decide how and when to perform maintenance activities for power plants, especially if they are among base load electricity producers. The control gates are one of the vital components in hydroelectric power plants which control the movement of water. In this study, we formulate the maintenance problem of control gates using Markov Decision Processes. Our aim is to find an optimum maintenance policy for the gates by considering maintenance related losses such as equipment cost, lost sales and time spent during maintenance. We create and analyze different scenarios based on the physical conditions of the plant and cost structures.Yayın Maintenance policy simulation for a factored partially observable system(The Society for Modeling and Simulation International, 2019-07) Özgür Ünlüakın, Demet; Kıvanç, İpekTaking maintenance decisions is one of the well-known stochastic sequential decision problems under uncertainty. Partially Observable Markov Decision Processes (POMDPs) are powerful tools for such problems. Nevertheless, POMDPs are rarely used for tackling maintenance problems of multi-component systems because their state spaces grow exponentially with the increasing number of components. Factored representations have been proposed for POMDPs taking advantage of the factored structure already available in the nature of the problem. Our aim in this study is to show how to formulate a factored POMDP model for the maintenance problem of a multi-component dynamic system and how to simulate and evaluate the obtained policy before implementing it in real life. The sensitivity of the methodology is analyzed under several cost values, and the methodology is compared to other predefined policies. The results show that the policies generated via the POMDP solver perform better than the predefined policies.
