Complex power economic dispatch with improved loss coefficients

Alomoush, Muwaffaq I.

doi:10.1007/s12667-019-00370-y

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…where P Loss and P Load are the transmission losses and total system demand, respectively. Typically, a (conventional) B matrix loss formula proposed by Kron [34] is used to account for the losses and is given by the equation,…”

Section: Eld Problem Formulationmentioning

confidence: 99%

On Employing a Constrained Nonlinear Optimizer to Constrained Economic Dispatch Problems

et al. 2023

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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.

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Section: Eld Problem Formulationmentioning

confidence: 99%

On Employing a Constrained Nonlinear Optimizer to Constrained Economic Dispatch Problems

et al. 2023

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“…Its economic scheduling is proportional to operating cost [3,4]. Hence, the ED aims to determine the generation share of power plants that will keep a certain fitness function minimized [5,6]. e fitness function can be, for example, the operation cost and emission cost [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Improved Gradient-Based Optimizer for Modelling Thermal and Hydropower Plants

Agwa

Mesalam

Hassan

et al. 2022

International Transactions on Electrical Energy Systems

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Adequate and accurate models of thermal power plants (TPP) and hydropower plants (HPP) are of great importance for the optimal economic functioning of electric power systems. The extracted models have a direct impact on economic dispatch calculations. In this research, a modified optimization algorithm called an improved gradient-based optimizer (IGBO) is deployed for the optimal extraction of TPP and HPP input-output parameters. Firstly, the IGBO is tested for use with well-known benchmark functions and shows outstanding performance over the original GBO and other competitive algorithms. For the input-output parameters extraction of TPP and HPP, the sum of the absolute error (SAE) is utilized as a fitness function to be minimized. Secondly, nine models of TPP and HPP are employed for parameter identification using IGBO. Simulation outcomes prove the capability of IGBO to accurately extract input-output parameters of TPP and HPP. Moreover, the convergence characteristics of IGBO are remarkable among investigated optimization algorithms.

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