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Particle swarm optimization to solving the economic dispatch considering the generator constraints

Gaing, Z.-L.·2003·IEEE Transactions on Power Systems

Abstract

This paper proposes a particle swarm optimization (PSO) method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and nonsmooth cost functions are considered using the proposed method in practical generator operation. The feasibility of the proposed method is demonstrated for three different systems, and it is compared with the GA method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.

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Metadata

Authors
Gaing, Z.-L.
Venue
IEEE Transactions on Power Systems
Published
2003-08
Volume
18
Issue
3
Pages
1187-1195
ISSN
0885-8950 (ISSN-L)
OpenAlex
W2149156031
Cited by
1,715
References
0
FWCI
21.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Particle swarm optimization to solving the economic dispatch considering the generator constraints. https://app.cochat.ai/papers/10.1109/tpwrs.2003.814889
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Gaing, Z.-L. (2003). Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2003.814889

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.