![](/images/graphics-bg.png)
Solving multi-pollutant emission dispatch problem using computational intelligence technique
Joint Authors
Rahmat, Nur Azzammudin
Abidin, Ahmad Farid
Musirin, Ismail
Source
Issue
Vol. 12, Issue 2 (30 Jun. 2016), pp.249-257, 9 p.
Publisher
Publication Date
2016-06-30
Country of Publication
Algeria
No. of Pages
9
Main Subjects
Earth Sciences, Water and Environment
Electronic engineering
Topics
- Atmosphere
- Pollution
- Electrical equipment
- Electric power stations
- Censorship
- Air
- Electric power generation
- Economic aspects
- Environmental aspects
- Air quality
Abstract EN
Economic dispatch is a crucial process conducted by the utilities to correctly determine the satisfying amount of power to be generated and distributed to the consumers.
During the process, the utilities also consider pollutant emission as the consequences of fossil-fuel consumption.
Fossil-fuel includes petroleum, coal, and natural gas; each has its unique chemical composition of pollutants i.e.
sulphur oxides (SOX), nitrogen oxides (NOX) and carbon oxides (COX).
This paper presents multi-pollutant emission dispatch problem using computational intelligence technique.
In this study, a novel emission dispatch technique is formulated to determine the amount of the pollutant level.
It utilizes a pre-developed optimization technique termed as differential evolution immunized ant colony optimization (DEIANT) for the emission dispatch problem.
The optimization results indicated high level of COX level, regardless of any type of fossil fuel consumed.
American Psychological Association (APA)
Rahmat, Nur Azzammudin& Musirin, Ismail& Abidin, Ahmad Farid. 2016. Solving multi-pollutant emission dispatch problem using computational intelligence technique. Journal of Electrical Systems،Vol. 12, no. 2, pp.249-257.
https://search.emarefa.net/detail/BIM-689829
Modern Language Association (MLA)
Rahmat, Nur Azzammudin…[et al.]. Solving multi-pollutant emission dispatch problem using computational intelligence technique. Journal of Electrical Systems Vol. 12, no. 2 (2016), pp.249-257.
https://search.emarefa.net/detail/BIM-689829
American Medical Association (AMA)
Rahmat, Nur Azzammudin& Musirin, Ismail& Abidin, Ahmad Farid. Solving multi-pollutant emission dispatch problem using computational intelligence technique. Journal of Electrical Systems. 2016. Vol. 12, no. 2, pp.249-257.
https://search.emarefa.net/detail/BIM-689829
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 257
Record ID
BIM-689829