Optimal Unit-Commitment Generation Scheduling Using Genetic Algorithm: A Case Study of A 10-Generator Power System Network

Authors

  • O. E. Ozoemena Department of Electrical/Electronic Engineering, University of Abuja, Abuja, NIGERIA
  • A. Adamu Department of Electrical/Electronic Engineering, University of Abuja, Abuja, NIGERIA

Keywords:

Generator Scheduling, Genetic Algorithm, Optimisation, Unit Commitment

Abstract

Generation Scheduling is a complex optimisation problem. The aim is to get an optimal combination of generating units for optimal operation. In this paper, Genetic Algorithm (GA) is presented as a viable optimisation tool to solve a fuel cost-based unit-commitment problem. The power system network adopted for the study is a 10-generator network.  The prime objective here is to prepare the best economic start-up and shutdown schedules of the generators which meets the forecasted load demand plus reserve for a particular time interval while at the same time satisfying various system constraints. The implementation was done with the GA Toolbox in MATLAB 2018a. Results obtained were compared to the ones obtained with Lagrangian Relaxation optimisation technique and the comparison shows that Genetic Algorithm led to a slight reduction in fuel cost by ₦ 522,452.20 for the 24-hour period.

Author Biography

  • A. Adamu, Department of Electrical/Electronic Engineering, University of Abuja, Abuja, NIGERIA
    • Student of Master of Engineering - Power and Machines option

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Published

2022-04-26

Issue

Vol. 41 No. 2 (2022): NIGERIAN JOURNAL OF TECHNOLOGY, VOL. 41 NO. 2, MARCH 2022

Section

Computer, Telecommunications, Software, Electrical & Electronics Engineering

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How to Cite

Optimal Unit-Commitment Generation Scheduling Using Genetic Algorithm: A Case Study of A 10-Generator Power System Network. (2022). Nigerian Journal of Technology, 41(2), 302-310. https://www.nijotech.com/index.php/nijotech/article/view/2812