Environmental Economic Power Dispatch Using Bat Algorithm with Generalized Fly and Evolutionary Boundary Constraint Handling Scheme
| Autor: | Khaled Guerraiche, Latifa Dekhici, Khaled Belkadi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Scheme (programming language) Mathematical optimization Control and Optimization Computer science 020209 energy Boundary (topology) 02 engineering and technology Computer Science Applications Constraint (information theory) Computational Mathematics Computational Theory and Mathematics Modeling and Simulation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Decision Sciences (miscellaneous) computer Bat algorithm Economic power computer.programming_language |
| Zdroj: | International Journal of Applied Metaheuristic Computing. 11:171-191 |
| ISSN: | 1947-8291 1947-8283 |
| DOI: | 10.4018/ijamc.2020040109 |
| Popis: | This article intends to resolve the evolving environmental economic power dispatching problem (EED) using an enhanced version of the bat algorithm (BA) which is the Bat Algorithm with Generalized Fly (BAG). A good solution based on the Evolutionary Boundary Constraint Handling Scheme rather than the well-known absorbing technique and a good choice of the bi-objective function are provided to maintain the advantages of such algorithms on this problem. In the first stage, an individual economic power dispatch problem is considered by minimizing the fuel cost and taking into account the maximum pollutant emission. In the second stage and after weighting soft constraints satisfaction maximization and hard constraints abuse penalties, the proposed approach of the bi-objective environmental and economic load dispatch was built on a pareto function. The approach was tested on a thermal power plant with 10 generators and an IEEE30 power system of 6 generators. The results on the two datasets compared to those of other methods show that the proposed technique yields better cost and pollutant emissions. |
| Databáze: | OpenAIRE |
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