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Energies 2018, 11(1), 95; doi:10.3390/en11010095

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

1
School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
2
State Key Laboratory of HVDC Technology (Electric Power Research Institute Co., Ltd., CSG), Guangzhou 510663, China
3
College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Received: 17 October 2017 / Revised: 27 November 2017 / Accepted: 29 November 2017 / Published: 2 January 2018
(This article belongs to the Section Electrical Power and Energy System)
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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. View Full-Text
Keywords: ant lion optimization; particle swarm optimization; chaotic mutation; hydraulic turbine governing system; parameter identification ant lion optimization; particle swarm optimization; chaotic mutation; hydraulic turbine governing system; parameter identification
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Tian, T.; Liu, C.; Guo, Q.; Yuan, Y.; Li, W.; Yan, Q. An Improved Ant Lion Optimization Algorithm and Its Application in Hydraulic Turbine Governing System Parameter Identification. Energies 2018, 11, 95.

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