Intelligent controlled three-phase squirrel-cage induction generator system using wavelet fuzzy neural network for wind power
An intelligent controlled three-phase squirrel-cage induction generator (SCIG) system for grid-connected wind power application using wavelet fuzzy neural network (WFNN) is proposed in this study. First, the indirect field-oriented mechanism is implemented for the control of the SCIG system. Then, a...
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| Vydáno v: | IET renewable power generation Ročník 7; číslo 5; s. 552 - 564 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Stevenage
The Institution of Engineering and Technology
01.09.2013
The Institution of Engineering & Technology |
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| ISSN: | 1752-1416, 1752-1424, 1752-1424 |
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| Abstract | An intelligent controlled three-phase squirrel-cage induction generator (SCIG) system for grid-connected wind power application using wavelet fuzzy neural network (WFNN) is proposed in this study. First, the indirect field-oriented mechanism is implemented for the control of the SCIG system. Then, an AC/DC power converter and a DC/AC power inverter are developed to convert the electric power generated by a three-phase SCIG from variable-voltage and variable-frequency to constant-voltage and constant-frequency. Moreover, the intelligent WFNN controller is proposed for both the AC/DC power converter and DC/AC power inverter to improve the transient and steady-state responses of the SCIG system at different operating conditions. Three online trained WFNNs using backpropagation learning algorithm are implemented as the tracking controllers for the DC-link voltage of the AC/DC power converter and the active power and reactive power outputs of the DC/AC power inverter. Furthermore, the network structure and the online learning algorithm of the WFNN are introduced in detail. Finally, some experimental results are provided to demonstrate the effectiveness of the proposed SCIG system for wind power. |
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| AbstractList | An intelligent controlled three‐phase squirrel‐cage induction generator (SCIG) system for grid‐connected wind power application using wavelet fuzzy neural network (WFNN) is proposed in this study. First, the indirect field‐oriented mechanism is implemented for the control of the SCIG system. Then, an AC/DC power converter and a DC/AC power inverter are developed to convert the electric power generated by a three‐phase SCIG from variable‐voltage and variable‐frequency to constant‐voltage and constant‐frequency. Moreover, the intelligent WFNN controller is proposed for both the AC/DC power converter and DC/AC power inverter to improve the transient and steady‐state responses of the SCIG system at different operating conditions. Three online trained WFNNs using backpropagation learning algorithm are implemented as the tracking controllers for the DC‐link voltage of the AC/DC power converter and the active power and reactive power outputs of the DC/AC power inverter. Furthermore, the network structure and the online learning algorithm of the WFNN are introduced in detail. Finally, some experimental results are provided to demonstrate the effectiveness of the proposed SCIG system for wind power. An intelligent controlled three-phase squirrel-cage induction generator (SCIG) system for grid-connected wind power application using wavelet fuzzy neural network (WFNN) is proposed in this study. First, the indirect field-oriented mechanism is implemented for the control of the SCIG system. Then, an AC/DC power converter and a DC/AC power inverter are developed to convert the electric power generated by a three-phase SCIG from variable-voltage and variable-frequency to constant-voltage and constant-frequency. Moreover, the intelligent WFNN controller is proposed for both the AC/DC power converter and DC/AC power inverter to improve the transient and steady-state responses of the SCIG system at different operating conditions. Three online trained WFNNs using backpropagation learning algorithm are implemented as the tracking controllers for the DC-link voltage of the AC/DC power converter and the active power and reactive power outputs of the DC/AC power inverter. Furthermore, the network structure and the online learning algorithm of the WFNN are introduced in detail. Finally, some experimental results are provided to demonstrate the effectiveness of the proposed SCIG system for wind power. [PUBLICATION ABSTRACT] |
| Author | Tan, Kuang-Hsiung Fang, Dun-Yi Lee, Yih-Der Lin, Faa-Jeng |
| Author_xml | – sequence: 1 givenname: Faa-Jeng surname: Lin fullname: Lin, Faa-Jeng email: linfj@ee.ncu.edu.tw organization: 1Department of Electrical Engineering, National Central University, Chungli 320, Taiwan – sequence: 2 givenname: Kuang-Hsiung surname: Tan fullname: Tan, Kuang-Hsiung organization: 2School of Defense Science, Chung Cheng Institute of Technology, National Defense University, Taoyuan 335, Taiwan – sequence: 3 givenname: Dun-Yi surname: Fang fullname: Fang, Dun-Yi organization: 1Department of Electrical Engineering, National Central University, Chungli 320, Taiwan – sequence: 4 givenname: Yih-Der surname: Lee fullname: Lee, Yih-Der organization: 3Engineering Technology and Facility Operation Division, Institute of Nuclear Energy Research, Taoyuan 335, Taiwan |
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| Cites_doi | 10.1049/iet-epa.2011.0204 10.5772/643 10.1109/TPEL.2006.886653 10.1109/TNN.2004.841798 10.1049/ip-epa:20050540 10.1109/TIE.2006.881997 10.1109/2943.999610 10.1049/iet-epa:20080038 10.1109/PESC.2005.1581980 10.1109/TSTE.2011.2162638 10.1109/TCSI.2006.875166 10.1109/TIE.2009.2037646 10.1109/MCS.2010.939962 10.1109/TFUZZ.2004.825067 10.1049/iet-epa.2009.0071 10.1109/TIA.2010.2090932 10.1109/TUFFC.2006.1678193 10.1109/TPEL.2004.833452 10.1109/TIE.2009.2020077 10.1109/TPEL.2007.897117 10.1109/78.388860 10.1109/TNN.2008.2006331 |
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| Keywords | indirect field-oriented mechanism wavelet fuzzy neural network wavelet transforms AC-DC power converter power generation control constant-voltage SCIG Intelligent controlled three-phase squirrel-cage induction generator system WFNN training electric current control grid-connected wind power application backpropagation learning algorithm constant-frequency neurocontrollers machine vector control power grids tracking controller wind power plants variable-frequency intelligent WFNN controller fuzzy neural nets reactive power output electric power generation asynchronous generators DC-AC power inverter DC-link voltage controller DC-AC power convertors variable-voltage backpropagation phase control active power output reactive power control AC-DC power convertors |
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| References | Tazil, M.; Kumar, V.; Bansal, R.C. (C7) 2010; 4 Teng, L.T.; Lin, F.J.; Chiang, H.C.; Lin, J.W. (C18) 2009; 3 Qu, L.; Qiao, W. (C3) 2011; 47 Yu, W.; Li, X. (C12) 2004; 12 Lin, F.J.; Huang, P.K.; Wang, C.C.; Teng, L.T. (C15) 2007; 22 Pan, H.; Xia, L.-Z. (C17) 2008; 19 Pao, L.Y.; Johnson, K.E. (C2) 2011; 31 Gao, Y.; Er, M.J. (C14) 2005; 16 Lin, F.J.; Teng, L.T.; Shieh, P.H.; Li, Y.F. (C19) 2006; 153 Blaabjerg, F.; Teodorescu, R.; Liserre, M.; Timbus, A.V. (C11) 2006; 53 Teodorescu, R.; Blaabjerg, F. (C21) 2004; 19 Zhang, J.; Walter, G.G.; Miao, Y.; Lee, W.N.W. (C16) 1995; 43 Chen, Y.M.; Liu, Y.C.; Hung, S.C.; Cheng, C.S. (C22) 2007; 22 Yoo, S.J.; Choi, Y.H.; Park, J.B. (C23) 2006; 53 Lin, F.J.; Shieh, H.J.; Huang, P.K.; Teng, L.T. (C13) 2006; 53 Wai, R.J.; Li, C.M. (C24) 2009; 56 Xu, Z.; Hu, Q.; Ehsani, M. (C1) 2012; 3 Muller, S.; Deicke, M.; De Doncker, R.W. (C8) 2002; 8 Goel, P.K.; Singh, B.; Murthy, S.S.; Kishore, N. (C9) 2011; 58 Vijayakumar, K.; Kumaresan, N.; Gounden, N.A. (C4) 2012; 6 2009; 56 2012; 3 2006; 53 2011 2004; 19 2008; 19 2004; 12 2002; 8 1995; 43 2011; 31 2006; 153 2005 2011; 47 2011; 58 2012; 6 2009; 3 2005; 16 2007; 22 2010; 4 e_1_2_8_17_1 Mathew S. (e_1_2_8_21_1) 2011 e_1_2_8_18_1 e_1_2_8_19_1 e_1_2_8_13_1 e_1_2_8_24_1 e_1_2_8_14_1 e_1_2_8_25_1 e_1_2_8_15_1 e_1_2_8_16_1 Al‐Bahadly I. (e_1_2_8_7_1) 2011 e_1_2_8_3_1 e_1_2_8_2_1 e_1_2_8_5_1 e_1_2_8_4_1 e_1_2_8_6_1 e_1_2_8_9_1 e_1_2_8_8_1 e_1_2_8_20_1 e_1_2_8_10_1 e_1_2_8_11_1 e_1_2_8_22_1 e_1_2_8_12_1 e_1_2_8_23_1 |
| References_xml | – volume: 16 start-page: 475 issue: 2 year: 2005 end-page: 483 ident: C14 article-title: An intelligent adaptive control scheme for postsurgical blood pressure regulation publication-title: IEEE Trans. Neural Netw. – volume: 3 start-page: 147 issue: 2 year: 2009 end-page: 159 ident: C18 article-title: Recurrent wavelet neural network controller with improved particle swarm optimisation for induction generator system publication-title: IET Electr. Power Appl. – volume: 4 start-page: 75 issue: 2 year: 2010 end-page: 89 ident: C7 article-title: Three-phase doubly fed induction generators: an overview publication-title: IET Electr. Power Appl. – volume: 58 start-page: 1141 issue: 4 year: 2011 end-page: 1153 ident: C9 article-title: Isolated wind–hydro hybrid system using cage generators and battery storage publication-title: IEEE Trans. Ind. Electron. – volume: 47 start-page: 359 issue: 1 year: 2011 end-page: 367 ident: C3 article-title: Constant power control of DFIG wind turbines with supercapacitor energy storage publication-title: IEEE Trans. Ind. Appl. – volume: 53 start-page: 1398 issue: 5 year: 2006 end-page: 1409 ident: C11 article-title: Overview of control and grid synchronization for distributed power generation systems publication-title: IEEE Trans. Ind. Electron. – volume: 22 start-page: 1070 issue: 3 year: 2007 end-page: 1077 ident: C22 article-title: Multi-input inverter for grid-connected hybrid PV/Wind power system publication-title: IEEE Trans. Power Electron. – volume: 31 start-page: 44 issue: 2 year: 2011 end-page: 62 ident: C2 article-title: Control of wind turbines publication-title: IEEE Power Control Syst. Mag. – volume: 43 start-page: 1485 issue: 6 year: 1995 end-page: 1497 ident: C16 article-title: Wavelet neural networks for function learning publication-title: IEEE Trans. Signal Process. – volume: 153 start-page: 608 issue: 4 year: 2006 end-page: 618 ident: C19 article-title: Intelligent controlled wind turbine emulator and induction generator system using RBFN publication-title: IET Electr. Power Appl. – volume: 8 start-page: 26 issue: 3 year: 2002 end-page: 33 ident: C8 article-title: Doubly fed induction generator systems for wind turbines publication-title: IEEE Ind. Appl. Mag. – volume: 3 start-page: 57 issue: 1 year: 2012 end-page: 64 ident: C1 article-title: Estimation of effective wind speed for fixed-speed wind turbines based on frequency domain data fusion publication-title: IEEE Trans. Sustain. Energy – volume: 53 start-page: 1649 issue: 9 year: 2006 end-page: 1661 ident: C13 article-title: Adaptive control with hysteresis estimation and compensation using RFNN for piezo-actuator publication-title: IEEE Trans. Ultrason. Ferroelectr. Freq. Contr. – volume: 6 start-page: 162 issue: 3 year: 2012 end-page: 171 ident: C4 article-title: Operation and closed-loop control of wind-driven stand-alone doubly fed induction generators using a single inverter-battery system publication-title: IET Electr. Power Appl. – volume: 53 start-page: 1381 issue: 6 year: 2006 end-page: 1395 ident: C23 article-title: Generalized predictive control based on self-recurrent wavelet neural network for stable path tracking of mobile robots: adaptive learning rates approach publication-title: IEEE Trans. Circuits and Syst. I, Reg. Pap. – volume: 12 start-page: 411 issue: 3 year: 2004 end-page: 420 ident: C12 article-title: Fuzzy identification using fuzzy neural networks with stable learning algorithms publication-title: IEEE Trans. Fuzzy Syst. – volume: 19 start-page: 1323 issue: 5 year: 2004 end-page: 1332 ident: C21 article-title: Flexible control of small wind turbines with grid failure detection operating in stand-alone and grid-connected mode publication-title: IEEE Trans. Power Electron. – volume: 56 start-page: 2667 issue: 7 year: 2009 end-page: 2683 ident: C24 article-title: Design of dynamic petri recurrent fuzzy neural network and its application to path-tracking control of nonholonomic mobile robot publication-title: IEEE Trans. Ind. Electron. – volume: 22 start-page: 260 issue: 1 year: 2007 end-page: 271 ident: C15 article-title: An induction generator system using fuzzy modeling and recurrent fuzzy neural network publication-title: IEEE Trans. Power Electron. – volume: 19 start-page: 2132 issue: 12 year: 2008 end-page: 2149 ident: C17 article-title: Efficient object recognition using boundary representation and wavelet neural network publication-title: IEEE Trans. Neural Netw. – year: 2011 – volume: 56 start-page: 2667 issue: 7 year: 2009 end-page: 2683 article-title: Design of dynamic petri recurrent fuzzy neural network and its application to path‐tracking control of nonholonomic mobile robot publication-title: IEEE Trans. Ind. Electron. – volume: 53 start-page: 1398 issue: 5 year: 2006 end-page: 1409 article-title: Overview of control and grid synchronization for distributed power generation systems publication-title: IEEE Trans. Ind. Electron. – volume: 8 start-page: 26 issue: 3 year: 2002 end-page: 33 article-title: Doubly fed induction generator systems for wind turbines publication-title: IEEE Ind. Appl. Mag. – volume: 53 start-page: 1381 issue: 6 year: 2006 end-page: 1395 article-title: Generalized predictive control based on self‐recurrent wavelet neural network for stable path tracking of mobile robots: adaptive learning rates approach publication-title: IEEE Trans. Circuits and Syst. I, Reg. Pap. – volume: 3 start-page: 147 issue: 2 year: 2009 end-page: 159 article-title: Recurrent wavelet neural network controller with improved particle swarm optimisation for induction generator system publication-title: IET Electr. Power Appl. – volume: 31 start-page: 44 issue: 2 year: 2011 end-page: 62 article-title: Control of wind turbines publication-title: IEEE Power Control Syst. Mag. – volume: 47 start-page: 359 issue: 1 year: 2011 end-page: 367 article-title: Constant power control of DFIG wind turbines with supercapacitor energy storage publication-title: IEEE Trans. Ind. Appl. – volume: 19 start-page: 1323 issue: 5 year: 2004 end-page: 1332 article-title: Flexible control of small wind turbines with grid failure detection operating in stand‐alone and grid‐connected mode publication-title: IEEE Trans. Power Electron. – start-page: 2474 year: 2005 end-page: 2481 – volume: 22 start-page: 260 issue: 1 year: 2007 end-page: 271 article-title: An induction generator system using fuzzy modeling and recurrent fuzzy neural network publication-title: IEEE Trans. Power Electron. – volume: 43 start-page: 1485 issue: 6 year: 1995 end-page: 1497 article-title: Wavelet neural networks for function learning publication-title: IEEE Trans. Signal Process. – volume: 19 start-page: 2132 issue: 12 year: 2008 end-page: 2149 article-title: Efficient object recognition using boundary representation and wavelet neural network publication-title: IEEE Trans. Neural Netw. – start-page: 373 year: 2011 end-page: 402 – volume: 153 start-page: 608 issue: 4 year: 2006 end-page: 618 article-title: Intelligent controlled wind turbine emulator and induction generator system using RBFN publication-title: IET Electr. Power Appl. – volume: 3 start-page: 57 issue: 1 year: 2012 end-page: 64 article-title: Estimation of effective wind speed for fixed‐speed wind turbines based on frequency domain data fusion publication-title: IEEE Trans. Sustain. Energy – volume: 53 start-page: 1649 issue: 9 year: 2006 end-page: 1661 article-title: Adaptive control with hysteresis estimation and compensation using RFNN for piezo‐actuator publication-title: IEEE Trans. Ultrason. Ferroelectr. Freq. Contr. – volume: 22 start-page: 1070 issue: 3 year: 2007 end-page: 1077 article-title: Multi‐input inverter for grid‐connected hybrid PV/Wind power system publication-title: IEEE Trans. Power Electron. – volume: 16 start-page: 475 issue: 2 year: 2005 end-page: 483 article-title: An intelligent adaptive control scheme for postsurgical blood pressure regulation publication-title: IEEE Trans. Neural Netw. – volume: 58 start-page: 1141 issue: 4 year: 2011 end-page: 1153 article-title: Isolated wind–hydro hybrid system using cage generators and battery storage publication-title: IEEE Trans. Ind. Electron. – volume: 12 start-page: 411 issue: 3 year: 2004 end-page: 420 article-title: Fuzzy identification using fuzzy neural networks with stable learning algorithms publication-title: IEEE Trans. Fuzzy Syst. – volume: 6 start-page: 162 issue: 3 year: 2012 end-page: 171 article-title: Operation and closed‐loop control of wind‐driven stand‐alone doubly fed induction generators using a single inverter‐battery system publication-title: IET Electr. Power Appl. – volume: 4 start-page: 75 issue: 2 year: 2010 end-page: 89 article-title: Three‐phase doubly fed induction generators: an overview publication-title: IET Electr. Power Appl. – ident: e_1_2_8_5_1 doi: 10.1049/iet-epa.2011.0204 – start-page: 373 volume-title: Wind turbine year: 2011 ident: e_1_2_8_7_1 doi: 10.5772/643 – ident: e_1_2_8_16_1 doi: 10.1109/TPEL.2006.886653 – ident: e_1_2_8_15_1 doi: 10.1109/TNN.2004.841798 – ident: e_1_2_8_20_1 doi: 10.1049/ip-epa:20050540 – ident: e_1_2_8_12_1 doi: 10.1109/TIE.2006.881997 – ident: e_1_2_8_9_1 doi: 10.1109/2943.999610 – ident: e_1_2_8_19_1 doi: 10.1049/iet-epa:20080038 – ident: e_1_2_8_6_1 – ident: e_1_2_8_11_1 doi: 10.1109/PESC.2005.1581980 – ident: e_1_2_8_2_1 doi: 10.1109/TSTE.2011.2162638 – ident: e_1_2_8_24_1 doi: 10.1109/TCSI.2006.875166 – ident: e_1_2_8_10_1 doi: 10.1109/TIE.2009.2037646 – ident: e_1_2_8_3_1 doi: 10.1109/MCS.2010.939962 – ident: e_1_2_8_13_1 doi: 10.1109/TFUZZ.2004.825067 – ident: e_1_2_8_8_1 doi: 10.1049/iet-epa.2009.0071 – ident: e_1_2_8_4_1 doi: 10.1109/TIA.2010.2090932 – ident: e_1_2_8_14_1 doi: 10.1109/TUFFC.2006.1678193 – ident: e_1_2_8_22_1 doi: 10.1109/TPEL.2004.833452 – volume-title: Advances in wind energy conversion technology year: 2011 ident: e_1_2_8_21_1 – ident: e_1_2_8_25_1 doi: 10.1109/TIE.2009.2020077 – ident: e_1_2_8_23_1 doi: 10.1109/TPEL.2007.897117 – ident: e_1_2_8_17_1 doi: 10.1109/78.388860 – ident: e_1_2_8_18_1 doi: 10.1109/TNN.2008.2006331 |
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| Snippet | An intelligent controlled three-phase squirrel-cage induction generator (SCIG) system for grid-connected wind power application using wavelet fuzzy neural... An intelligent controlled three‐phase squirrel‐cage induction generator (SCIG) system for grid‐connected wind power application using wavelet fuzzy neural... |
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| SubjectTerms | active power output AC‐DC power converter AC‐DC power convertors Algorithms asynchronous generators backpropagation backpropagation learning algorithm constant‐frequency constant‐voltage DC‐AC power convertors DC‐AC power inverter DC‐link voltage controller electric current control Electric power electric power generation fuzzy neural nets grid‐connected wind power application indirect field‐oriented mechanism Intelligent controlled three‐phase squirrel‐cage induction generator system intelligent WFNN controller machine vector control neurocontrollers phase control power generation control power grids reactive power control reactive power output SCIG tracking controller variable‐frequency variable‐voltage wavelet fuzzy neural network wavelet transforms WFNN training Wind power wind power plants |
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| Title | Intelligent controlled three-phase squirrel-cage induction generator system using wavelet fuzzy neural network for wind power |
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