Universiti Teknologi Malaysia Institutional Repository

Unit commitment scheduling using particle swarm optimization

Alhaji, Dodo Mustapha (2018) Unit commitment scheduling using particle swarm optimization. Masters thesis, Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering.

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Abstract

An important criterion in power system operation is to meet the power demand at minimum fuel cost using an optimal mix of different power plants. Moreover, in order to supply electric power to customers in a secured and economic manner, thermal unit commitment is considered to be one of the best available options. It is thus recognized that the optimal unit commitment of thermal systems results in a great saving for electric utilities. Unit Commitment is the problem of determining the schedule of generating units subject to device and operating constraints. The formulation of unit commitment has been discussed and an algorithm based on Particle Swarm Optimization technique, which is a population based global search, has been developed to solve the unit commitment problem. The algorithms which was written in MATLAB codes was implemented on IEEE six bus system. The results showed that PSO is effective in producing optimal solution for UC problem with minimised operating cost within 45 minute execution time.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Kejuruteraan (Elektrik Kuasa)) - Universiti Teknologi Malaysia, 2018; Supervisor : Dr. Siti Maherah Hussin
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:85793
Deposited By: Fazli Masari
Deposited On:30 Jul 2020 15:34
Last Modified:30 Jul 2020 15:34

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