An Improved Ant Lion Optimization Algorithm and Its Application in Hydraulic Turbine Governing System Parameter Identification

Tian Tian, Changyu Liu, Qi Guo, Yi Yuan, Wei Li and Qiurong Yan
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Tian Tian: School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Changyu Liu: School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Qi Guo: State Key Laboratory of HVDC Technology (Electric Power Research Institute Co., Ltd., CSG), Guangzhou 510663, China
Yi Yuan: State Key Laboratory of HVDC Technology (Electric Power Research Institute Co., Ltd., CSG), Guangzhou 510663, China
Wei Li: State Key Laboratory of HVDC Technology (Electric Power Research Institute Co., Ltd., CSG), Guangzhou 510663, China
Qiurong Yan: College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Energies, 2018, vol. 11, issue 1, 1-15

Abstract: In this paper, an improved ant lion optimization (IALO) algorithm for parameter identification of hydraulic turbine governing system (HTGS) is proposed. In the proposed algorithm, the search space is explored by the ant lion optimization first, and then the domain is searched by the particle swarm optimization (PSO) in each iteration cycle. A chaotic mutation operation namely Logistics map is introduced for the elite to break out of the local optimum. In mutation operation, a serial-parallel combined method is developed to increase the diversity of mutant population. When the proposed IALO algorithm is applied in the parameter identification of HTGS, the comparative simulation results show that the proposed IALO algorithm has the highest accuracy among different optimization algorithms, and the proposed IALO algorithm has a good convergence characteristic and high stability.

Keywords: ant lion optimization; particle swarm optimization; chaotic mutation; hydraulic turbine governing system; parameter identification (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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