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Title: Wind-thermal power system dispatch using MLSAD model and GSOICLW algorithm
Authors: Li, Yuan Zheng
Wu, Q. H.
Wang, Ping
Gooi, Hoay Beng
Li, K. C.
Liu, Y. Q.
Jiang, L.
Lu, P.
Cao, M.
Imura, J.
Keywords: Power system dispatch
Wind power
Issue Date: 2017
Source: Li, Y. Z., Jiang, L., Wu, Q. H., Wang, P., Gooi, H. B., Li, K. C., et al. (2017). Wind-thermal power system dispatch using MLSAD model and GSOICLW algorithm. Knowledge-Based Systems, 116, 94-101.
Series/Report no.: Knowledge-Based Systems
Abstract: The decision support model of mean-lower semi-absolute deviation (MLSAD) and the optimization algorithm of group search optimizer with intraspecific competition and lévy walk (GSOICLW) are presented to solve wind-thermal power system dispatch. MLSAD model takes the profit and downside risk into account simultaneously brought by uncertain wind power. Using a risk tolerance parameter, the model can be converted to a single-optimization problem, which is solved by an improved optimization algorithm, GSOICLW. Afterwards, both the model and the algorithm are tested on a modified IEEE 30-bus power system. Simulation results demonstrate that the MLSAD model can well solve wind-thermal power system dispatch. The study also verifies GSOICLW obtains better convergent dispatching solutions, in comparison with other evolutionary algorithms, such as group search optimizer and particle swarm optimizer.
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2016.10.028
Rights: © 2016 Elsevier B.V. This is the author created version of a work that has been peer reviewed and accepted for publication by Knowledge-Based Systems, Elsevier B.V. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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