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

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-objec...

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Bibliographic Details
Published in:Neural computing & applications 2018-07, Vol.30 (1), p.261-270
Main Authors: Ali, E. S., Abd Elazim, S. M.
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer Science
Computing time
Data Mining and Knowledge Discovery
Economics
Electric power generation
Environmental impact
Image Processing and Computer Vision
Industrial plant emissions
Optimization
Original Article
Pollutants
Power dispatch
Power plants
Probability and Statistics in Computer Science
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Summary: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.
ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-016-2650-8