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On Employing a Constrained Nonlinear Optimizer to Constrained Economic Dispatch Problems

Ghulam Abbas (), Irfan Ahmad Khan, Naveed Ashraf, Muhammad Taskeen Raza, Muhammad Rashad and Raheel Muzzammel
Additional contact information
Ghulam Abbas: Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan
Irfan Ahmad Khan: Clean and Resilient Energy Systems (CARES) Lab, Electrical and Computer Engineering Department, Texas A & M University, Galveston, TX 77553, USA
Naveed Ashraf: Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan
Muhammad Taskeen Raza: Department of Electrical Engineering, Lahore College for Women University, Lahore 54000, Pakistan
Muhammad Rashad: Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan
Raheel Muzzammel: Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan

Sustainability, 2023, vol. 15, issue 13, 1-23

Abstract: Recently, different metaheuristic techniques, their variants, and hybrid forms have been extensively used to solve economic load dispatch (ELD) problems with and without valve point loading (VPL) effects. Due to the randomization involved in these metaheuristic techniques, one has to perform extensive runs for each experiment to get an optimal solution. The process may sometimes become laborious and time-consuming to converge to an optimal solution. On the other hand, advanced calculus-based techniques, being deterministic, perform iteration systematically and come up with the same solution on each run of the experiment. Since ELD problems are constrained optimization problems, we are proposing the constrained (deterministic) optimization algorithm for their solutions. Various 13-unit, 38-unit, and 40-unit thermal test systems are considered. Valve point loading (VPL) effects are also considered in some cases. Computer-based numerical results depict that the constrained optimization algorithm shows evidence of being almost as competitive in a total fuel cost as the metaheuristic optimization techniques, especially for the less-constrained ELD problems but with far reduced computation time. This finding validates the application of the constrained optimization technique to solve the economic dispatch problem.

Keywords: economic load dispatch (ELD) problem; constrained (deterministic) optimization algorithm; metaheuristic technique; valve point effects; fuel cost; computation time (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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