Engine Predictive Maintenance Schedule Optimization on Sumbagut-2 Gas Engine Power Plant Using Mixed Integer Nonlinear Programming

Pranata, Muhammad Kahari (2024) Engine Predictive Maintenance Schedule Optimization on Sumbagut-2 Gas Engine Power Plant Using Mixed Integer Nonlinear Programming. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Engine maintenance scheduling is crucial for power plants, particularly those using multiple engines. For example, the Sumbagut-2 Gas Engine Power Plant in Lhokseumawe, Aceh, employs 13 engines to produce 240 MW of power for northern Sumatera, including North Sumatera and Aceh. This project designs an optimized maintenance schedule based on engine usability and the type of maintenance required according to each generator's accumulated operation hours. The goal is to maximize system reliability using a mixed integer nonlinear programming optimization approach. Constraints include maximum duration and maintenance status, while the objective function focuses on reliability. Engine reliability is determined by calculating the components’ respective reliability functions in series, and system reliability is assessed by placing the engines in parallel. The optimized schedule shows that the first maintenance occurs on the 27th day. Most engines are maintained in pairs, with at least one engine undergoing maintenance alone.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Engine Maintenance Schedule, Optimization, Mixed Integer Nonlinear Programming, Reliability
Subjects:	T Technology > T Technology (General) > T57.8 Nonlinear programming. Support vector machine. Wavelets. Hidden Markov models.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Muhammad Kahari Pranata
Date Deposited:	31 Jul 2024 02:50
Last Modified:	31 Jul 2024 02:50
URI:	http://repository.its.ac.id/id/eprint/110691

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