Sensing Cloud Optimization applied to a non-convex constrained economical dispatch

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Pedro Fonte (Author) Other; Cláudio Monteiro (Author) FEUP; Fernando Maciel Barbosa (Author) FEUP

Conference proceedings International

Title: 39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013)

Pages: 2163-2168

39th Annual Conference of the IEEE Industrial-Electronics-Society (IECON)

Vienna, AUSTRIA, NOV 10-14, 2013

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 3 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-009-4SA

DOI: 10.1109/iecon.2013.6699466

Abstract (EN): In this paper it is intended to solve an Economical Dispatch (ED) problem with a new tool, named Sensing Cloud Optimization (SCO). It is a technique based on clouds of particles which allow a dynamic change in search space. It has appropriate heuristic characteristic to solve not convex, not differentiable and highly constrained optimisation problems. It is provided with a statistical analysis which determines the cloud's dimension with dynamic adjustments in search space in order to accelerate the convergence and to avoid to get trapped in local minima. Two case studies are presented in which SCO demonstrated good performances reaching lower cost values where compared with other techniques.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6