Application of Particle Swarm Optimisation in solving Emission Constrained Economic Dispatch

Production of electricity has long been equated with emission of hazardous greenhouse gases and pollutants. One of the ways to reduce this negative impact is via emission constrained economic dispatch (ECED). The ECED is aimed to simultaneously minimize the total cost of generation and the total emi...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2013-01, Vol.16 (1), p.12029-4
Main Authors: Razali, N M Muhamad, Teh, Y Y
Format: Article
Language:English
Subjects:
Air pollution
Constraints
Cost engineering
Emission
Emissions
Greenhouse effect
Greenhouse gases
Heuristic methods
Impact analysis
Particle swarm optimization
Pollutants
Power dispatch
Swarm intelligence
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Summary:Production of electricity has long been equated with emission of hazardous greenhouse gases and pollutants. One of the ways to reduce this negative impact is via emission constrained economic dispatch (ECED). The ECED is aimed to simultaneously minimize the total cost of generation and the total emission level. In order to overcome the limitations of the widely-used conventional method (CM) such as lack of flexibility and accuracy and the probability of achieving only local minima, meta-heuristic optimisers are gaining popularity. The paper presents the formulation of the ECED problem and proposes the use of Particle Swarm Optimizer (PSO) as a better alternative to the CM. The effectiveness of using PSO to solve the ECED problem as compared to CM is demonstrated and discussed.
ISSN:1755-1315
1755-1307
1755-1315
DOI:10.1088/1755-1315/16/1/012029