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Improved Chicken Swarm Algorithms Based on Chaos Theory and Its Application in Wind Power Interval Prediction
Joint Authors
Wang, Bing
Li, Wei
Chen, Xianhui
Chen, Haohao
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Probabilistic interval prediction can be used to quantitatively analyse the uncertainty of wind energy.
In this paper, a wind power interval prediction model based on chaotic chicken swarm optimization and extreme learning machine (CCSO-ELM) is proposed.
Traditional optimization has limitations of low population diversity and a tendency to easily fall into local minima.
To address these limitations, chaos theory is adopted in the chicken swarm optimization (CSO), which improves its performance and efficiency.
In addition, the traditional cost function does not reflect the deviation degree of off-interval points; hence, an evaluation index considering the relative deviation of off-interval points is proposed in this paper.
Finally, the new cost function is taken as the fitness function, the output layer weight of ELM is optimized using CCSO, and the lower upper bound estimation (LUBE) is adopted to output the prediction interval directly.
The simulation result shows that the proposed method can effectively reduce the average bandwidth, improve the quality of interval prediction, and guarantee the interval coverage.
American Psychological Association (APA)
Wang, Bing& Li, Wei& Chen, Xianhui& Chen, Haohao. 2019. Improved Chicken Swarm Algorithms Based on Chaos Theory and Its Application in Wind Power Interval Prediction. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1194246
Modern Language Association (MLA)
Wang, Bing…[et al.]. Improved Chicken Swarm Algorithms Based on Chaos Theory and Its Application in Wind Power Interval Prediction. Mathematical Problems in Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1194246
American Medical Association (AMA)
Wang, Bing& Li, Wei& Chen, Xianhui& Chen, Haohao. Improved Chicken Swarm Algorithms Based on Chaos Theory and Its Application in Wind Power Interval Prediction. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1194246
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194246