Lee, Yi Yang (2024) Transient state analysis and optimization on power plant startup routine using PSO. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Abstract
A conceptual novel method of optimizing power plant startup time is proposed in this project to minimize the startup cost, synchronization problem and human error associate with it. The problem that is long unoptimized power plant startup is approached with a two phased solution that is transient state analysis and PSO model. The purpose of the project is to explore new solution to the power plant startup problem other than using dynamic model from power plant simulator. The project can be further divided into four components namely PSO, Data Analysis, manual work and Display GUI. The PSO is tasked with producing a set of parameters that can be used to fine tune the power plant in order to produce predicted power level. Whereas the Data Analysis part serves to model the power plant’s behaviour into a polynomial equation. All of the work involved in the project is done in MATLAB with the exception of manual work which is carried out in Microsoft Excel.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Power plant optimization, Particle swarm optimization, Data analysis, MATLAB, GUI |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Library > Final Year Project > FTKEK |
Depositing User: | Sabariah Ismail |
Date Deposited: | 16 Nov 2024 08:03 |
Last Modified: | 16 Nov 2024 08:03 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/33215 |
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