Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm
Joint Authors
Xia, Xin
Ji, Jie
Li, Chao-shun
Xue, Xiaoming
Wang, Xiaolu
Zhang, Chu
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-28
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Hydraulic turbine governing system (HTGS) is essential equipment which regulates frequency and power of the power grids.
In previous studies, optimal control of HTGS is always aiming at one single operation condition.
The variation of operation conditions of HTGS is seldom considered.
In this paper, multiobjective optimal function is proposed for HTGS under multiple operation conditions.
In order to optimize the solution to the multiobjective problems, a novel multiobjective grey wolf optimizer algorithm with searching factor (sMOGWO) is also proposed with two improvements: adding searching step to search more no-domain solutions nearby the wolves and adjusting control parameters to keep exploration ability in later period.
At first, the searching ability of the sMOGWO has been verified on several UF test problems by statistical analysis.
And then, the sMOGWO is applied to optimize the solutions of the multiobjective problems of HTGS, while different algorithms are employed for comparison.
The experimental results indicate that the sMOGWO is more effective algorithm and improves the control quality of the HTGS under multiple operation conditions.
American Psychological Association (APA)
Xia, Xin& Ji, Jie& Li, Chao-shun& Xue, Xiaoming& Wang, Xiaolu& Zhang, Chu. 2019. Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm. Complexity،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1131523
Modern Language Association (MLA)
Xia, Xin…[et al.]. Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm. Complexity No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1131523
American Medical Association (AMA)
Xia, Xin& Ji, Jie& Li, Chao-shun& Xue, Xiaoming& Wang, Xiaolu& Zhang, Chu. Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm. Complexity. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1131523
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131523