The Improved Binary-Real Coded Shuffled Frog Leaping Algorithm for Solving Short-Term Hydropower Generation Scheduling Problem in Large Hydropower Station
Joint Authors
Yang, Kan
Yang, Zhe
Su, Lyuwen
Hu, Hu
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-29, 29 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-13
Country of Publication
Egypt
No. of Pages
29
Main Subjects
Abstract EN
The short-term hydro generation scheduling (STHGS) decomposed into unit commitment (UC) and economic load dispatch (ELD) subproblems is complicated problem with integer optimization, which has characteristics of high dimension, nonlinear and complex hydraulic and electrical constraints.
In this study, the improved binary-real coded shuffled frog leaping algorithm (IBR-SFLA) is proposed to effectively solve UC and ELD subproblems, respectively.
For IB-SFLA, the new grouping strategy is applied to overcome the grouping shortage of SFLA, and modified search strategies for each type of frog subpopulation based on normal cloud model (NCM) and chaotic theory are introduced to enhance search performance.
The initialization strategy with chaos theory and adaptive frog activation mechanism are presented to strengthen performance of IR-SFLA on ELD subproblem.
Furthermore, to solve ELD subproblem, the optimal economic operation table is formed using IR-SFLA and invoked from database.
Moreover, reserve capacity supplement and repair, and minimum on and off time repairing strategies are applied to handle complex constraints in STHGS.
Finally, the coupled external and internal model corresponding to UC and ELD subproblems is established and applied to solve STHGS problem in Three Gorges hydropower station.
Simulation results obtained from IBR-SFLA are better than other compared algorithms with less water consumption.
In conclusion, to solve STHGS optimization problem, the proposed IBR-SFLA presents outstanding performance on solution precision and convergence speed compared to traditional SFLA effectively and outperforms the rivals to get higher precision solution with improving the utilization rate of waterpower resources.
American Psychological Association (APA)
Yang, Zhe& Yang, Kan& Su, Lyuwen& Hu, Hu. 2018. The Improved Binary-Real Coded Shuffled Frog Leaping Algorithm for Solving Short-Term Hydropower Generation Scheduling Problem in Large Hydropower Station. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-29.
https://search.emarefa.net/detail/BIM-1207056
Modern Language Association (MLA)
Yang, Zhe…[et al.]. The Improved Binary-Real Coded Shuffled Frog Leaping Algorithm for Solving Short-Term Hydropower Generation Scheduling Problem in Large Hydropower Station. Mathematical Problems in Engineering No. 2018 (2018), pp.1-29.
https://search.emarefa.net/detail/BIM-1207056
American Medical Association (AMA)
Yang, Zhe& Yang, Kan& Su, Lyuwen& Hu, Hu. The Improved Binary-Real Coded Shuffled Frog Leaping Algorithm for Solving Short-Term Hydropower Generation Scheduling Problem in Large Hydropower Station. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-29.
https://search.emarefa.net/detail/BIM-1207056
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207056