.png){kind=icon}
Return
Evolutionary simplex adaptive Hooke-Jeeves algorithm for economic load dispatch problem considering valve point loading effects
.png){kind=icon}
OA
AI
DOI：10.1016/j.asej.2020.04.006.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Economic load dispatch problems are most important in operation and management of the electric power systems which are formulated as optimization problems. Modern deterministic and stochastic optimization techniques are efficient in solving economic load dispatch problems without any limitation because of their capability to seek the global optimal solution. Economic load dispatch problems involve linear equality constraints which are difficult to handle along with discontinuous, non-differentiable and highly non-linear objective functions. The problem becomes challenging for optimization techniques, especially for deterministic methods. This study presents a new approach based on a hybrid algorithm consisting of Genetic algorithm and modified Hooke and Jeeves method to solve the economic load dispatch problems with equality constraints. The performance of proposed Algorithm is tested on five generating systems with valve-point effects. Test results of proposed technique are quite promising and effective, with good convergence property and generation cost to produce better quality solution compared with several state-of-the-art methods. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Ain Shams University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords:
Economic load dispatch
Hybrid method
Hooke and Jeeves method
Genetic algorithm
Valve-point effects
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.9
Papers:
3.4K
Citations:
1.2W
Organization
Cited Papers
Optimization of single and multi-areas economic dispatch problems based on evolutionary particle swarm optimization algorithm.png)
ENERGY
ENERGYIF9.4
PREAI
ShareSaveA hybrid GA-PS-SQP method to solve power system valve-point economic dispatch problemsAPPLIED ENERGY
APPLIED ENERGYIF11
PREAI
ShareSaveShareSaveShareSave
View more