Combined economic and emission dispatch using whale optimisation algorithm

C.K. Faseela and H. Vennila

International Journal of Enterprise Network Management, 2019, vol. 10, issue 1, 32-43

Abstract: This paper highlight the use of latest whale optimisation meta heuristic algorithm for solving economic dispatch problem efficiently. This is used to solve the combined economic and emission dispatch problems for standard three generators system and 30 bus IEEE system. The whale optimisation algorithm was found to provide optimum results with easy convergence in comparison with other algorithms like PSO algorithm. Fuel cost and emission costs are combined to derive better result for economic dispatch. For checking the effectiveness of the algorithm, the results obtained using the same are compared with the results of particle swarm optimisation (PSO) and analysed the same against minimum generation cost and easy convergence. The results are found to be excellent for the systems considered.

Keywords: particle swan optimisation; PSO; whale optimisation algorithm; WOA; economic and emission dispatch; EED; optimum; solution; fuel cost; emission cost; optimisation methodology. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=98101 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijenma:v:10:y:2019:i:1:p:32-43

Access Statistics for this article

More articles in International Journal of Enterprise Network Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().