IEEE Access
(Jan 2021)
Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review
Muhammad Salman Fakhar,
Sheroze Liaquat,
Syed Abdul Rahman Kashif,
Akhtar Rasool,
Muhammad Khizer,
Muhammad Ahmad Iqbal,
Muhammad Anas Baig,
Sanjeevikumar Padmanaban
Affiliations
Muhammad Salman Fakhar
ORCiD Department of Electrical Engineering, University of Engineering and Technology, Lahore, Lahore, Pakistan
Sheroze Liaquat
ORCiD Department of Electrical Engineering, National University of Computer and Emerging Sciences, Lahore, Lahore, Pakistan
Syed Abdul Rahman Kashif
ORCiD Department of Electrical Engineering, University of Engineering and Technology, Lahore, Lahore, Pakistan
Akhtar Rasool
ORCiD Department of Electrical Engineering, Sharif College of Engineering and Technology, Lahore, Lahore, Pakistan
Muhammad Khizer
Department of Electrical Engineering, National University of Computer and Emerging Sciences, Lahore, Lahore, Pakistan
Muhammad Ahmad Iqbal
ORCiD Department of Electrical Engineering, University of Engineering and Technology, Lahore, Lahore, Pakistan
Muhammad Anas Baig
ORCiD Department of Electrical Engineering, University of Engineering and Technology, Lahore, Lahore, Pakistan
Sanjeevikumar Padmanaban
ORCiD Department of Energy Technology, Aalborg University Esbjerg, Esbjerg, Denmark
DOI
https://doi.org/10.1109/ACCESS.2021.3055292
Journal volume & issue
Vol. 9
Abstract
Read online
Short term hydrothermal scheduling (STHTS) is a non-linear, multi-modal and very complex constrained optimization problem which has been solved using several conventional and modern metaheuristic optimization algorithms. A number of research articles have been published addressing STHTS using different techniques. This article presents a comprehensive review of research published for solving the STHTS problem in the last four decades.
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