A novel seeker optimization approach for solving combined economic and emission dispatch

Over the past 50 years the average global temperature has increased at the fastest rate in record history. The main reason behind this is emission of Carbon dioxide from thermal power plants. The U.S only produces 2.5 billion tons every year. This paper solves the problem of emission dispatch includ...

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Bibliographic Details
Published in2013 International Conference on Power, Energy and Control (ICPEC) pp. 371 - 376
Main Authors Syed, M. S., Syed, A. R., Rao, Y. S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2013
Subjects
Ant Colony Optimization
Economic Dispatch
Economics
Emission dispatch
Equations
Fuels
Generators
Mathematical model
Optimization
Particle swarm Optimization
Propagation losses
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Summary:Over the past 50 years the average global temperature has increased at the fastest rate in record history. The main reason behind this is emission of Carbon dioxide from thermal power plants. The U.S only produces 2.5 billion tons every year. This paper solves the problem of emission dispatch including economic dispatch combining as combined economic dispatch and emission dispatch (CEED). Economic dispatch gives a solution to reduce the total fuel cost while Emission dispatch is to reduce the emission level with the required system constraints. In this paper Particle swarm Optimization is used to solve CEED on a test system and the results are compared with Ant Colony Optimization (ACO) algorithm.
ISBN:1467360279
9781467360272
DOI:10.1109/ICPEC.2013.6527684