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Nonlinear fast-slow dynamics of a coupled fractional order hydropower generation system |
Xiang Gao(高翔)1,2, Diyi Chen(陈帝伊)1,2,3, Hao Zhang(张浩)1,2, Beibei Xu(许贝贝)1,2, Xiangyu Wang(王翔宇)3 |
1 Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A & F University, Yangling 712100, China;
2 Institute of Water Resources and Hydropower Research, Northwest A & F University, Yangling 712100, China;
3 Australasian Joint Research Centre for Building Information Modelling, School of Built Environment, Curtin University, WA 6102, Australia |
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Abstract Internal effects of the dynamic behaviors and nonlinear characteristics of a coupled fractional order hydropower generation system (HGS) are analyzed. A mathematical model of hydro-turbine governing system (HTGS) with rigid water hammer and hydro-turbine generator unit (HTGU) with fractional order damping forces are proposed. Based on Lagrange equations, a coupled fractional order HGS is established. Considering the dynamic transfer coefficient e is variational during the operation, introduced e as a periodic excitation into the HGS. The internal relationship of the dynamic behaviors between HTGS and HTGU is analyzed under different parameter values and fractional order. The results show obvious fast-slow dynamic behaviors in the HGS, causing corresponding vibration of the system, and some remarkable evolution phenomena take place with the changing of the periodic excitation parameter values.
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Received: 18 May 2018
Revised: 09 October 2018
Accepted manuscript online:
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PACS:
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82.40.Bj
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(Oscillations, chaos, and bifurcations)
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88.60.K-
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(Hydroturbines)
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88.40.fc
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(Modeling and analysis)
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Fund: Project supported by the National Natural Science Foundation of China for Outstanding Youth (Grant No. 51622906), the National Natural Science Foundation of China (Grant No. 51479173), the Fundamental Research Funds for the Central Universities (Grant No. 201304030577), the Scientific Research Funds of Northwest A & F University (Grant No. 2013BSJJ095), and the Science Fund for Excellent Young Scholars from Northwest A & F University and Shaanxi Nova Program, China (Grant No. 2016KJXX-55). |
Corresponding Authors:
Diyi Chen
E-mail: diyichen@nwsuaf.edu.cn
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Cite this article:
Xiang Gao(高翔), Diyi Chen(陈帝伊), Hao Zhang(张浩), Beibei Xu(许贝贝), Xiangyu Wang(王翔宇) Nonlinear fast-slow dynamics of a coupled fractional order hydropower generation system 2018 Chin. Phys. B 27 128202
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[1] |
Sarasúa J I, Pérez-Díaz J I, Wilhelmi J R and Á J 2015 Energy Conv. Manag. 106 151
|
[2] |
Zeng Y, Zhang L X, Guo Y K, Qian J and Zhang C L 2014 Nonlinear Dyn. 76 1921
|
[3] |
Zeng Y, Zhang L X, Guo Y K and Qian J 2015 Int. J. Control Autom 13 867
|
[4] |
Joseph A, Desingu K, Semwal R R, Chelliah T R and Khare D 2017 IEEE T. Energy Conver. 33 430
|
[5] |
Mesnage H, Alamir M, Perrissin-Fabert N and Alloin Q 2017 Eur. J. Ccontrol 34 24
|
[6] |
Moradi H, Alasty A and Vossoughi G 2013 Energy Conv. Manag. 68 105
|
[7] |
Pico H V, Mccalley J D, Angel A, Leon R and Castrillon N J 2012 IEEE T. Power Syst. 27 1906
|
[8] |
Michelsen F A, Wilhelmsen O Zhao L and Åsen K I 2013 Energy Conv. Manag. 67 160
|
[9] |
Poirier M, Gagnon M, Tahan A, Coutu A and Chamberland-Lauzon J 2017 Mech. Syst. Signal Pr. 82 193
|
[10] |
Alexopoulos A and Weinberg G V 2014 Phys. Lett. A 378 2478
|
[11] |
Li W, Zhang M T and Zhao J F 2017 Chin. Phys. B 26 090501
|
[12] |
Bardeji S G, Figueiredo I N and Sousa E 2017 Appl. Num. Math. 114 188
|
[13] |
Izsák F and Szekeres B J 2017 Appl. Math. Lett. 71 38
|
[14] |
Jothiprakash V, Arunkumar R 2013 Water Resour. Manag. 27 1963
|
[15] |
Layek G C and Pati N C 2017 Phys. Lett. A 381 3568
|
[16] |
Kumar S, Kumar D and Singh J 2016 Adv. Nonlinear Anal. 5 383
|
[17] |
Andrew L Y T, Li X F, Chu Y D and Zhang H 2015 Chin. Phys. B 24 100520
|
[18] |
Pahnehkolaei S M A, Alfi A and Machado J A T 2017 Commun. Nonlinear Sci. Num. Simul. 47 328
|
[19] |
Sakaguchi H and Okita T 2016 Phys. Rev. E 93 022212
|
[20] |
Ma J H and Ren W B 2016 Int. J. Bifur. Chaos 26 1650181
|
[21] |
Li H H, Chen D Y, Zhang H, Wang F F and Ba D D 2016 Mech. Syst. Signal Proc. 80 414
|
[22] |
Xu B B, Chen D Y, Tolo S, Patelli E and Jiang Y L 2018 Int. J. Elec. Power 95 156
|
[23] |
Si G Q, Diao L J, Zhu J W, Lei Y H and Zhang Y B 2017 Chin. Phys. B 26 060503
|
[24] |
Li H H, Chen D Y, Xu B B, Tolo S and Patelli E 2017 Nonlinear Dyn. 90 535
|
[25] |
Mandić P D, T B Š Lazarević M P and Bošković M 2017 ISA T. 67 76
|
[26] |
Pay S S 2016 Chin. Phys. B 25 040204
|
[27] |
Xu B B, Chen D Y, Zhang H and Zhou R 2015 Nonlinear Dyn. 81 1263
|
[28] |
Xu B B, Chen D Y, Behrens P, Ye W, Guo P C and Luo X Q 2018 Energy Conv. Manag. 174 208
|
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