dc.contributor.author | Odero, Nicodemus A | |
dc.date.accessioned | 2014-12-09T15:50:20Z | |
dc.date.available | 2014-12-09T15:50:20Z | |
dc.date.issued | 2014 | |
dc.identifier.uri | http://hdl.handle.net/11295/77016 | |
dc.description | Journal Article | en_US |
dc.description.abstract | -This paper proposes to determine the feasible
optimal solution of the economic load dispatch power systems
problem using Particle Swarm Optimization (PSO) considering
various generator constraints. The objective of the proposed
method is to determine the steady-state operating point which
minimizes the fuel cost, while maintaining an acceptable system
performance in terms of limits on generator power, line flow,
prohibited operating zone and non linear cost function. Three
different inertia weights; a constant inertia weight CIW, a timevarying
inertia weight TVIW, and global-local best inertia
weight GLbestIW, are considered with the (PSO) algorithm to
analyze the impact of inertia weight on the performance of PSO
algorithm. The PSO algorithm is simulated for each of the
method individually. It is observed that the PSO algorithm with
the proposed inertia weight (GLbestIW) yields better results,
both in terms of optimal solution and faster convergence. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Department of Electrical and Information Engineering, School of Engineering, University of Nairobi, Kenya | en_US |
dc.subject | Classical particle swarm optimization | en_US |
dc.subject | Economic load dispatch | en_US |
dc.title | Solution to Economic Load Dispatch using Particle Swarm Optimization | en_US |
dc.type | Article | en_US |
dc.type.material | en_US | en_US |