Abstract:
This paper presents a novel solution of convex and non-convex economic load dispatch (ELD) problem of small scale thermal power system using a hybrid soft computing appro...Show MoreMetadata
Abstract:
This paper presents a novel solution of convex and non-convex economic load dispatch (ELD) problem of small scale thermal power system using a hybrid soft computing approach. The solution method involves a combination of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithms where the latter is used to tune the solution obtained by the former towards finding global optima. The proposed approach is found useful in finding economic dispatch in a 3-generator 5-bus system by considering generator capacity constraints, transmission loss, ramp rate limits, prohibited operating zones and valve point loading. Six test cases have been studied in a simulated environment. The paper shows that by applying the PSO-ACO hybrid algorithm 300MW power demand can be successfully met at minimum generation cost incurring minimum transmission loss.
Published in: 2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)
Date of Conference: 21-23 October 2016
Date Added to IEEE Xplore: 23 February 2017
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