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Sensing Cloud Optimization to Solve ED of Units with Valve-Point Effects and Multi-fuels

Abstract : 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.
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Pedro Fonte, Claudio Monteiro, Fernando Barbosa. Sensing Cloud Optimization to Solve ED of Units with Valve-Point Effects and Multi-fuels. 4th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2013, Costa de Caparica, Portugal. pp.477-484, ⟨10.1007/978-3-642-37291-9_51⟩. ⟨hal-01348793⟩

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