A Fresh Manner Cuckoo Search Algorithm to Hydrothermal Scheduling in Short Term

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Published: Oct 17, 2024
Keywords:
short-term hydrothermal, hydropower plants, cuckoo search algorithm, minimizing fuel cost

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K. S. Khalaf
School of Electrical and Electronic Engineering, Engineering campus, Universiti Sains Malaysia, Penang, Malaysia
https://orcid.org/0000-0002-0303-0972
Jaafar M. Mahdy
Electronic Engineering Department, Faculty of Engineering, University of Hull, Hull, United Kingdom
https://orcid.org/0009-0004-0344-4712
Mohammed Adnan Mohammed
- Computer Engineering and Systems Department, Faculty of Engineering, Mansoura University, Mansoura city, Egypt. - Computer engineering Department, National Engineering School of Sfax, Sfax University, Sfax city, Tunisia
https://orcid.org/0009-0009-7215-0773
DOI: https://doi.org/10.62909/ejeee.2024.007

Under a creative commons Licenses

Abstract

The main goal of the short-term hydrothermal scheduling (HS) challenge is to drastically  reduce the large fuel cost of producing power by scheduling the hydrothermal energy producers  while taking power balance restrictions, the reservoir's storage restrictions, the water's gross discharge, and the thermal power generators' and hydropower plants' operating restrictions into account. Many algorithms have been employed to solve this similar problem, and relevant research  have been published in the literature; nevertheless, their scope is limited in terms of the number of 16 iterations required to achieve the solution state and the solution state itself. In order to solve the HS  problem, this article suggests applying an improved cuckoo search (CS) algorithm known as the fresh manner cuckoo search (FMCS) algorithm, a modified variant of the conventional CS. The suggested FMCS

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How to Cite
[1]
K. S. Khalaf, J. M. Mahdy, and M. . Adnan Mohammed, “A Fresh Manner Cuckoo Search Algorithm to Hydrothermal Scheduling in Short Term”, ejeee, vol. 2, no. 1, pp. 42–49, Oct. 2024, doi: 10.62909/ejeee.2024.007.
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Vol. 2 (2024)
Section
Articles

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