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Optimization of Wave Energy Converter Arrays by an improved differential evolution algorithm

ENERGIES 2018年第12期11卷 3522-3522页

作者： Fang, Hong-Wei Feng, Yu-Zhu Li, Guo-Ping Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China Beijing Kejitong Elect Engn Co Ltd Beijing 100000 Peoples R China

Since different incident waves will cause the same array to perform differently with respect to the wave energy converter (WEC), the parameters of the incident wave, including the incident angle and the incident wave number, are taken into account for optimizing the wave energy converter array. Then, the differential evolution (DE) algorithm, which has the advantages of simple operation procedures and a strong global search ability, is used to optimize the wave energy converter array. However, the traditional differential evolution algorithm cannot satisfy the convergence precision and speed simultaneously. In order to make the optimization results more accurate, the concept of an adaptive mutation operator is presented to improve the performance of differential evolution algorithm. It gives the improved algorithm a faster convergence and a higher precision ability. The three-float, five-float, and eight-float arrays were optimized, respectively. It can be concluded that the larger the size of the array is, the greater the interaction between the floats is. Hence, a higher efficiency of wave energy extraction for wave energy converter arrays is achieved by the layout optimization of the array of wave energy converters. The results also show that the optimal layout of the array system is inhomogeneously distributed and that the improved DE algorithm used on array optimization is superior to the traditional DE algorithm.

关键词： wave energy converter array improved differential evolution algorithm interaction adaptive mutation operator

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Multi-stage method to identify structural damage using multiple damage location assurance criterion and an improved differential evolution algorithm

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INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 2017年第1期10卷 1066-1081页

作者： Wu, Chunli Liu, Hanbing Qin, Xuxi Tan, Guojin Gu, Zhengwei Jilin Univ Coll Transportat Changchun 130021 Jilin Peoples R China

For the damage identification technique of civil structures, the reduction of the computational cost for methods based on the optimization algorithms is the most crucial step. In this study, a fast multi-stage method is developed that uses the multiple damage location assurance criterion and an improved differential evolution algorithm. In the new method, the suitable damage range is selected in different stages to reduce the computational cost of structural analysis. Five mutation operators are analysized not only in the basic differential evolution algorithm but also in the improved one. A new adaptive scaling factor with a segmented function is proposed which can operate the decay rate to avoid the premature phenomenon. The results of the study show that the precise locations and extents of structural damage are successfully realized. It is also shown that the multi-stage method using the improved differential evolution algorithm is substantially faster as compared to the basic one and can be used as an efficient and powerful measure of structural damage identification.

关键词： damage identification multiple damage location assurance criterion improved differential evolution algorithm multi-stage method adaptive scaling factor

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improved differential evolution algorithm of model-based diagnosis in traction substation fault diagnosis of high-speed railway

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IET ELECTRICAL SYSTEMS IN TRANSPORTATION 2016年第3期6卷 163-169页

作者： Hu, Keting Liu, Zhigang Huang, Ke Dai, Chengxi Gao, Song Southwest Jiaotong Univ Sch Elect Engn Chengdu Sichuan Peoples R China Sichuan Elect Power Design & Consulting Co LTD Chengdu Sichuan Peoples R China

The traction substation plays an important role in high-speed railway (HSR) as it can provide electric energy for trains, whose fault may threaten the safe and stable operation of HSR. Compared with common diagnosis methods, such as expert systems that heavily depend on professional experience, model-based diagnosis (MBD) has some distinct advantages. However, the inefficiency and incompleteness of calculating minimal hitting sets (MHSs) limit the performance of MBD. To reduce these limitations, the binary differential evolution with secondary population algorithm is proposed to calculate the MHSs. This algorithm can take advantage of differential evolution algorithm to improve the computational efficiency. The secondary population is used to enhance the convergence rate. In addition, the MHSs ensured strategy is proposed to improve the computational accuracy. Experiments are carried out on an actual traction substation in Hefei-Nanning HSR, and the results show that the MHSs can be solved accurately to finish the fault diagnosis of the traction substation in a short time.

关键词： fault diagnosis traction power supplies railway electrification railway safety evolutionary computation convergence Hefei-Nanning HSR convergence rate secondary population algorithm binary differential evolution MHS minimal hitting sets MBD high-speed railway traction substation fault diagnosis model-based diagnosis improved differential evolution algorithm

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An improved differential evolution algorithm-based optimal series compensation voltage control strategy for an active distribution network

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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2017年第10期27卷 n/a-N.PAG页

作者： Zhang, Zhihua Crossley, Peter Xu, Bingyin Ma, Jun China Univ Petr Informat & Control Engn Coll 66 Changjiang West Rd Qingdao 266580 Peoples R China Univ Manchester Sch Elect & Elect Engn Manchester M139PL Lancs England Shandong Univ Technol Coll Elect & Elect Engn Zibo 255049 Peoples R China State Grid Shandong Binzhou Power Supply Co Binzhou 256600 Peoples R China

A distribution network with distributed generation (DG) is usually called an active distribution network. The voltage quality in an active distribution network tends to degrade because of the bidirectional power flow in the network and the random output characteristic of DG. Existing voltage control methods cannot effectively address this issue. In this article, an improved differential evolution (DE) algorithm-based optimal series compensation voltage control method for an active distribution network is presented. It is assumed that the series compensating voltage is produced flexibly by modern power electronics equipment. The quantitative relationship connecting the node voltage deviation, network power loss and compensating voltage is analysed. The optimal control model, including the power loss and load node voltage, is constructed. Then an improved DE algorithm is proposed to solve the optimal model, which combines the standard DE approach with the simulated annealing and adaptive mutation operator method. The optimal control model can be solved effectively by the improved algorithm. A simulation model is developed based on the IEEE 33 standard distribution network with DG. Simulation results confirm the validity of the optimal control model and the advantages of the improved DE algorithm.

关键词： active distribution network improved differential evolution algorithm optimal voltage control series compensation

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A two-step approach for damage detection in laminated composite structures using modal strain energy method and an improved differential evolution algorithm

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COMPOSITE STRUCTURES 2016年第Jul.期147卷 42-53页

作者： Vo-Duy, T. Ho-Huu, V. Dang-Trung, H. Nguyen-Thoi, T. Ton Duc Thang Univ Inst Computat Sci Div Computat Math & Engn Ho Chi Minh City Vietnam Ton Duc Thang Univ Fac Civil Engn Ho Chi Minh City Vietnam

The paper presents a two-step approach based on modal strain energy method and an improved differential evolution algorithm for damage detection in laminated composite structures. First, the modal strain energy based method is employed to identify a set of potential damaged elements. Then, the improved differential evolution algorithm is utilized to minimize the function of mode shape error with design variables relating to the extent of identified damaged elements. Here, the function of mode shape error is defined by the shift between the mode shape of the damaged structure and that of the healthy structure. The proposed approach is applied for a cross-ply (0 degrees/90 degrees/0 degrees) laminated composite beam and a cross-ply (0 degrees/90 degrees/0 degrees) square laminated composite plate with multiple damaged elements. In addition, the effect of noise on the accuracy of damage identification is also investigated. Numerical results show that the proposed approach is effective for damage detection in laminated composite beam and plate structures for both cases with noise and without noise. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Damage identification Modal strain energy improved differential evolution algorithm Composite structure Mode shape error

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Damage Detection in Laminated Composite Plates Using Modal Strain Energy and improved differential evolution algorithm

Damage Detection in Laminated Composite Plates Using Modal S...

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International Conference on Sustainable Development of Civil, Urban and Transportation Engineering (CUTE)

作者： Trung Vo-Duy Vinh Ho-Huu Hau Dang-Trung Du Dinh-Cong Trung Nguyen-Thoi Ton Duc Thang Univ Inst Computat Sci INCOS Div Computat Math & Engn CME Ho Chi Minh City 700000 Vietnam Ton Duc Thang Univ Fac Civil Engn Ho Chi Minh City 700000 Vietnam Ho Chi Minh City Univ Techol Ho Chi Minh City 700000 Vietnam Ho Chi Minh City Univ Technol HUTECH Fac Civil Engn Ho Chi Minh City 700000 Vietnam

In this paper, a model strain energy based method and an improved differential evolution algorithm are used to locate and quantify damage on the laminated composite plate. Firstly, the modal strain energy based method is employed to identify a set of potential damaged elements. Then the improved differential evolution algorithm is utilized to minimize a mode shape error with the damage variables to indicate the extent of elements defined in the previous task. The numerical examples carry out a three-layer square laminated composite plate with two damaged elements. In addition, the effect of noise on the accuracy of damage localization is also investigated. (C) 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： damage identification laminated composite plate improved differential evolution algorithm optimization

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Damage Detection in Laminated Composite Plates Using Modal Strain Energy and improved differential evolution algorithm

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Procedia Engineering 2016年 142卷 182-189页

作者： Trung Vo-Duy Vinh Ho-Huu Hau Dang-Trung Du Dinh-Cong Trung Nguyen-Thoi Division of Computational Mathematics and Engineering (CME) Institute for computational Science (INCOS) Ton Duc Thang University700000 Vietnam Faculty of Civil Engineering Ton Duc Thang University 700000 Vietnam Ho Chi Minh City University of Techology 700000 Vietnam Faculty of Civil Engineering Ho Chi Minh City University of Technology (HUTECH) 700000 Vietnam

关键词： damage identification laminated composite plate improved differential evolution algorithm optimization

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Spectrum parameter estimation in Brillouin scattering distributed temperature sensor based on cuckoo search algorithm combined with the improved differential evolution algorithm

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OPTICS COMMUNICATIONS 2015年 357卷 15-20页

作者： Zhang, Yanjun Yu, Chunjuan Fu, Xinghu Liu, Wenzhe Bi, Weihong Yanshan Univ Sch Informat Sci & Engn Qinhuangdao 066004 Peoples R China Key Lab Special Fiber & Fiber Sensor Yanshan Hebei Province Peoples R China

lii Lhe distributed optical fiber sensing system based on Brinouin scattering, strain and temperature are the main measuring parameters which can be obtained by analyzing the Brillouin center frequency shift. The novel algorithm which combines the cuckoo search algorithm (CS) with the improved differential evolution (IDE) algorithm is proposed for the Brillouin scattering parameter estimation. The CS-IDE algorithm is compared with CS algorithm and analyzed in different situation. The results show that both the CS and CS-IDE algorithm have very good convergence. The analysis reveals that the CS-IDE algorithm can extract the scattering spectrum features with different linear weight ratio, linewidth combination and SNR. Moreover, the BOTDR temperature measuring system based on electron optical frequency shift is set up to verify the effectiveness of the CS-IDE algorithm. Experimental results show that there is a good linear relationship between the Brillouin center frequency shift and temperature changes. (C) 2015 Elsevier B.V. All rights reserved

关键词： Distributed fiber sensors Brillouin scattering spectrum Cuckoo search algorithm improved differential evolution algorithm

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Hybrid algorithm of differential evolution and flower pollination for global optimization problems

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EXPERT SYSTEMS WITH APPLICATIONS 2024年第PartA期237卷

作者： Song, Haohao Bei, Jinling Zhang, Hongyu Wang, Jiquan Zhang, Panli Northeast Agr Univ Coll Engn Harbin 150030 Peoples R China

differential evolution (DE) and flower pollination algorithm (FPA) are efficient and novel meta-heuristic algorithms, which are effective tools for solving global optimization problems (GOPs). However, a single algorithm is always restricted to its own principle and mechanism, and even suffers from the imbalance of global and local search ability when solving large-scale GOPs. The organic combination of the two algorithms with a certain strategy can improve the performance of the hybrid algorithm. Motivated by this idea, a hybrid global optimization algorithm based on DE and FPA is proposed. Firstly, an improved initial population generation method is provided for improving the quality of the initial population. Secondly, an improved DE is given, and the parameters F and CR are adjusted in an adaptive and dynamic fashion, and a combined mutation operator is designed. Thirdly, an improved FPA is proposed, and a method for adaptively and dynamically adjusting the switch probability p is given, and formulas for updating the global and local position are introduced. Lastly, a hybrid strategy of organically combining DE and FPA is proposed to form a hybrid algorithm of differential evolution and flower pollination (HADEFP). To demonstrate the performance of the hybrid algorithm, the proposed hybrid algorithm is tested against other algorithms in the literature on CEC 2017 test functions (10-D, 50-D and 100-D) and practical optimization problem, respectively. The results show that the proposed HADEFP outperforms other comparison algorithms and has better robustness.

关键词： improved differential evolution algorithm improved flower pollination algorithm Population initialization method Hybrid strategy Operation of removing similarity

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Optimal Energy-Efficient Operation of a Metro Train on a Long and Steep Downhill Segment

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CSEE Journal of Power and Energy Systems 2023年第6期9卷 2356-2365页

作者： Deqiang He Hanqing Jian Yanjun Chen Jian Miao Zhixiao Luo Chonghui Ren Lang Zhang the department of State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures Guangxi Key Laboratory of Manufacturing System&Advanced Manufacturing TechnologySchool of Mechanical EngineeringGuangxi UniversityNanning 530004China the department of Guangxi Police College Nanning 530028China. the department of Nanning Rail Transit Co. Ltd.Nanning 530029China

Because the standard four-stage operation and con-trol strategy cannot fully utilize the gravitational potential energy of a train operating on a long and steep downhill segment,this paper further improves the method for train operation and control *** improved operation includes three stages of acceleration,coasting-speed limit cruising,and *** the speed limit,time limit,and distance limit as the constraints,the coasting condition switching point,braking condition switching point,traction coefficient,and braking force coefficient are used as the decision ***,an improved train traction energy consumption model is constructed,and an improved differential evolution algorithm is designed to solve this *** improved method is used to simulate two long and steep downhill segments of the Nanning *** results show that the improved method can meet the requirements of speed limit,time limit,and distance *** with the standard four-stage operation,the improved train operation and control strategy can reduce train energy consumption by more than 40%on the two long and steep downhill segments;compared with other similar algorithms,the improved algorithm is more suitable for solving the model.

关键词： Energy-efficient operation improved differential evolution algorithm long and steep downhill segment metro train

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