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Authors
Advisor(s)
Abstract(s)
In this paper a solution to an highly constrained and non-convex economical dispatch (ED) problem with a meta-heuristic technique named Sensing Cloud Optimization (SCO) is presented. The proposed meta-heuristic is based on a cloud of particles whose central point represents the objective function value and the remaining particles act as sensors "to fill" the search space and "guide" the central particle so it moves into the best direction. To demonstrate its performance, a case study with multi-fuel units and valve- point effects is presented.
Description
Keywords
Economic dispatch Optimization Heuristics Cloud of particles
Citation
FONTE, Pedro; MONTEIRO, Cláudio; BARBOSA, Fernando Maciel – Sensing cloud optimization to solve ED of units with valve-point effects and multi-fuels. In Technological Innovation for the Internet of Things (4th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2013), 2013. ISBN 978-642-37290-2. Vol. 394. Pp. 477-484.