EconPapers    
Economics at your fingertips  
 

A meta-heuristic, moth inspired algorithm for combined economic and environmental power dispatch

N. Mustafa and H. Vennila

International Journal of Enterprise Network Management, 2018, vol. 9, issue 1, 47-57

Abstract: The problem of deciding the contribution of each generator in a power system is complex. Where some generators are more cost effective, others have cleaner operation. Right choice of generators could save thousands of dollars in operating cost or prevent release of several tons of noxious fumes like NO2 and SO2 annually. Rising complexity of modern power systems and special efficiency improvement methods like valve point loading, demand newer means to find this vital balance between cost and emission. This paper aims to find a solution to this problem by the use of an algorithm inspired by the flight pattern of moths. Like a moth drawn to a flame, this algorithm seeks to minimise both cost as well as emission. The standard IEEE 30 bus test system is considered as the control case and the results obtained are compared with other such algorithms to demonstrate the effectiveness of MFO.

Keywords: economic dispatch; emission dispatch; valve point loading; moth flame optimisation; MFO. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=92060 (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:9:y:2018:i:1:p:47-57

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 ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijenma:v:9:y:2018:i:1:p:47-57