DocumentCode
3010685
Title
Combined economic and emission dispatch using intelligent water drops-continuous optimization algorithm
Author
Nagalakshmi, P. ; Harish, Y. ; Kumar, R. Karthik ; Jada, Chakravarthi
Author_Institution
Rajiv Gandhi Univ. of Knowledge Technol., Basar, India
fYear
2011
fDate
15-17 Dec. 2011
Firstpage
168
Lastpage
173
Abstract
This paper presents a new optimization technique IWD-CO to solve an optimization problem Combined Economic and Emission Dispatch (CEED). The CEED is a combination of Economic Load Dispatch and Emission Dispatch which aims at minimization of the fuel cost and emission cost of generating units while satisfying the load conditions and other constraints. The present algorithm is inspired from the natural river dynamics. Here the agents are water drops and they are used to find the optimal path in the search space. The IWD-CO is used in an efficient manner to solve large generating unit power system. The results of the IWD-CO to solve CEED are tested with 3 and 6 generator power systems and they are satisfactory. IWD-CO results are also compared with the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to show the effectiveness of algorithm.
Keywords
genetic algorithms; load dispatching; particle swarm optimisation; CEED; IWD-CO; PSO; combined economic and emission dispatch; genetic algorithm; intelligent water drops-continuous optimization algorithm; natural river dynamics; particle swarm optimization; Convergence; Cost function; Economics; Generators; Genetic algorithms; Soil; Combined Economic and Emission Dispatch; Evolution; Intelligent Water Drops; Swarm Intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Advancements in Electrical, Electronics and Control Engineering (ICONRAEeCE), 2011 International Conference on
Conference_Location
Sivakasi
Print_ISBN
978-1-4577-2146-5
Type
conf
DOI
10.1109/ICONRAEeCE.2011.6129749
Filename
6129749
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