NDLI: Particle swarm optimizer for constrained economic dispatch with prohibited operating zones

Content Provider	IEEE Xplore Digital Library
Author	El-Gallad, A. El-Hawary, M. Sallam, A. Kalas, A.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Dalhousie Univ., Halifax, NS, Canada (El-Gallad, A.; El-Hawary, M.)
Abstract	Practically, not all the operating zones of generation units are available always for load allocation due to some physical operation limitations. Accordingly, these prohibited zones divide the operating region between the minimum and the maximum generation limits into disjoint convex subsets. Units with prohibited operating zones transform the ordinary economic dispatch to a nonconvex optimization problem where the conventional Lagrangian multiplier based methods cannot be directly applied. The paper introduces the particle swarm optimizer (PSO) for solving this nonconvex economic dispatch problem. A 15-unit system with 4 units having prohibited operating zones is used for the application. The results are compared with those obtained by both conventional methods and the Hopfield neural network.
Sponsorship	Dept. Electr. & Comput. Eng. Faculty of Graduate Studies Faculty of Eng. TRLabs Internet Innovation Centre NRC Inst. Biodiagnostics APEGM IEEE Winnipeg Sec. IEEE Canada & IEEE Manitoba Hydro Vansco Electron. Bristol Aerosp. Nygard Int. Norsat
Starting Page	78
Ending Page	81
File Size	282311
Page Count	4
File Format	PDF
ISBN	0780375149
ISSN	08407789
DOI	10.1109/CCECE.2002.1015178
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-12
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Constraint optimization Power generation economics Particle swarm optimization Power generation Optimization methods Lagrangian functions Hopfield neural networks Cost function Electrical engineering computing Physics computing
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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