Tuan Ahmad Fauzi, Tuan Abdullah (2017) Optimization of electrical wiring design in buildings using particle swarm optimization and genetic algorithm / Tuan Ahmad Fauzi Tuan Abdullah. Masters thesis, University of Malaya.
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Abstract
In Malaysia, the number of population in the cities is increasing due to urbanization and job opportunities. As a result, the number of high rise building is also increasing. Hence, electrical system is becoming crucial in the construction of high rise building so that the building could be occupied safely and comfortably by tenants or residences. Commonly, electrical system is designed based on the customers’ requirements and it must comply according to certain requirements and regulation from authorities or standard bodies. The electrical wiring system design includes sizing of cables and bus ducts, customers’ load and placement of load, cables and bus ducts. Therefore, these parameters have to be emphasized on the planning stage. In this project, the main objective is to optimize the electrical distribution system design in buildings using optimization methods, which are Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The main reasons of using these optimization methods is to propose a minimum total cost and lowest voltage drop of electrical system design in buildings.Comparison between the optimisation methods and without using optimisation methods show that the total cost and total voltage drop are lower when using optimisation methods. Comparison between the results using PSO and GA shows that both methods yield the same total cost and total voltage drop but GA yields consistent results compared to PSO. Therefore, GA is more suitable than PSO in finding the lowest total voltage drop and total cost when designing an electrical system in a building.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | Research Report (M.A.) - Faculty of Engineering, University of Malaya, 2017. |
| Uncontrolled Keywords: | Electrical system; Crucial; Construction of high rise; Genetic Algorithm |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering |
| Depositing User: | Mr Prabhakaran Balachandran |
| Date Deposited: | 15 Jul 2019 05:02 |
| Last Modified: | 22 Sep 2020 04:15 |
| URI: | http://studentsrepo.um.edu.my/id/eprint/8543 |
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