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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 1/2018

17.11.2016 | Original Article

Mine blast algorithm for environmental economic load dispatch with valve loading effect

verfasst von: E. S. Ali, S. M. Abd Elazim

Erschienen in: Neural Computing and Applications | Ausgabe 1/2018

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Abstract

Economic load dispatch (ELD) is the process of allocating the required load between the available generation units such that the cost of operation is minimized. The ELD problem is formulated as a nonlinear constrained optimization problem with both equality and inequality constraints. The dual-objective combined economic emission dispatch (CEED) problem is considering the environmental impacts that accumulated from emission of gaseous pollutants of fossil-fueled power plants. In this paper, an implementation of mine blast algorithm (MBA) to solve ELD and CEED problems in power systems is discussed. Results obtained by the proposed MBA are compared with other optimization algorithms for various power systems. The results introduced in this paper show that the proposed MBA outlasts other techniques in terms of total cost and computational time.
Vorheriger Artikel Multi-criteria group decision-making method based on interdependent inputs of single-valued trapezoidal neutrosophic information
Nächster Artikel Social group optimization for global optimization of multimodal functions and data clustering problems

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Metadaten
Titel
Mine blast algorithm for environmental economic load dispatch with valve loading effect
verfasst von
E. S. Ali
S. M. Abd Elazim
Publikationsdatum
17.11.2016
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 1/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2650-8

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