Wind Power Integration Control Technology for Sustainable, Stable and Smart Trend: A Review
DOI:
https://doi.org/10.6000/1929-6002.2015.04.01.4Keywords:
Wind power, grid integration, grid mode, control technology, transmission technology, scheduling, forecasting techniques.Abstract
The key to achieve sustainable development of wind power is integration absorptive, involving the generation, transmission, distribution, operation, scheduling plurality of electric production processes. The paper based on the analyses of the situation of wind power development and grid integration requirements for wind power, summarized wind power integration technologies’ development, characteristics, applicability and trends from five aspects, grid mode, control technology, transmission technology, scheduling, and forecasting techniques. And friendly integration, intelligent control, reliable transmission, and accurate prediction would be the major trends of wind power integration, these five aspects interactive and mutually reinforcing would realize common development both grid and wind power, both economic and ecological.
References
GWEC. Global Wind Statistics 2014. Report, Brussels, Belgium, February 2015.
Muyeen SM. Wind energy conversion systems: technology and trends. London: Springer 2013. DOI: https://doi.org/10.1007/978-1-4471-2201-2
Ackemann T. Wind power in power system. Wiley, England, 2005; pp. 115-142. http://dx.doi.org/10.1002/0470012684 DOI: https://doi.org/10.1002/0470012684
E. ON Netz GmbH Bayreuth. Grid code of high and extra high voltage 2006.
E.ON Netz GmbH Bayreuth. Requirements for offshore grid connections in the E.ON Netz network 2008.
Youxing S, et al. Wind power development experience of Denmark and its reference to China. East China Electric Power 2008; 36: 153-7.
American Wind Energy Association. American Wind Energy Association annual wind industry report. Washington, DC: AWEA, 2008.
Jianye R, et al. Comparison on technical regulations of China and other countries for grid-connection of wind farms. Power System Technology 2012; 08: 44-9.
Jianlin L, Dongli Z, et al. Comparison and analysis on network synchronization modes of several kinds of variable speed constant frequency wind power generator. Electric Power Construction 2006; 27:8-11.
Shoudao H, Yanzhao S, Keyuan H. Review on cutting-in strategies of wind power. J of Electric lower Science and Technology 2008; 23 (2): 13-8.
Tengfei L, Yuegang L, et al. Review of syn-chronization technology of wind power generation system. Electric Power 2009; 42(11): 61-5.
Qiming C, Yiman C, et al. Research on review of grid-connected technology of wind power generation. East China Electric Power 2011; 02: 39-44.
Ke L. Research and design of shunt-connected wind power generation. Micromotor 2010; 02: 83-6.
Yu D, Yonghua C, Xueming L, et al. Status qua and prospect on control technique for large-scale synchronization of wind power. Guangdong Electric Power 2011; 05: 24-28+38.
Leithead W, et al. Role and objectives for control of wind turbines. IEEE Proc-C 1991; 138(2): 135-48. DOI: https://doi.org/10.1049/ip-c.1991.0017
Xinfang Z, Daping X, et al. Overview of technological developments and relevant control problems of wind turbines. North China Electric Power 2005; 05: 42-5.
Jingjing Z, Ping Y, et al. Study on control systems for wind-driven power generation. Process Automation Instrumentation 2006; S1: 32-5.
Dexing H. Some questions in the developing of wind power. World Science-technology R&D 2003; 04: 44-8.
Hilloowala RM, Sharaf AM. A rule-based fuzzy logic controller for a PWM inverter in a standalone wind energy conversion scheme. IEEE Trans on Industry Applications 1996; 32: 57-65. http://dx.doi.org/10.1109/28.485813 DOI: https://doi.org/10.1109/28.485813
Perales M, Perez J, Barrero F, et al. Fuzzy logic control of a variable speed variable pitch wind turbine. The 25th Annual Conference of the IEEE 1999; pp. 614-618.
Song W, Xingjia Y. Application of genetic algorithm in variable pitch wind power control system. New Energy 2000; 22: 48-51.
Chedid R, Mard F, Basma M. Intelligent control of a class of wind energy conversion systems. IEEE Trans. on Energy Conversion 1999; 14(4): 1597-1604. http://dx.doi.org/10.1109/60.815111 DOI: https://doi.org/10.1109/60.815111
Xueming L, Zhou X, Zhenhuan C, et al. Exploitation of large clusters of wind power active intelligent control system. Automation of Electric Power Systems 2010; 34(17): 59-63.
Clark K, Miller N. WindFREE TM reactive power control for wind turbine generators. Nordic wind power conference, Espoo, Finland 2006.
Jianhu B, Songxu X, Dexu J. Analysis on the planning and operation problems of large-scale wind power development in China. Electric Power Technologic Economics 2009; 21(2): 7-11.
Xinmin F. Research on the control strategy of VSC- HVDC and VSC- MTDC systems for wind farm-grid connection. PhD Thesis, South China University of Technology, China, 2014.
Van Eeckhout B, Van Hertem D, Reza M, et al. Economic comparison of VSC- HVDC and HVAC as transmission system for a 300MW offshore wind farm. European Transactions on Electrical Power 2010; 20(5): 661-71. DOI: https://doi.org/10.1002/etep.359
Aishling R, Rick W. Comparison of VSC based HVDC and HVAC interconnections to a large offshore wind farm. IEEE Power Engineering Society General. San Francisco, CA, United States 2005; 1-8.
Yiming Y, Yanming C. Operational test of xiangjiaba-shanghai ±800 kV UHVDC thyristor valve on the synthetic test circuit. High Voltage Engineering 2010; 36(1): 281-284.
Wanjun Z. HVDC technology. Beijing: China Electric Power Press, 2004.
Ooi BT, Wang X. Boost type PWM HVDC transmission system. IEEE Trans on Power Delivery 1991; 6(1): 1557-63. http://dx.doi.org/10.1109/61.97692 DOI: https://doi.org/10.1109/61.97692
Hairong C. Control and protection of VSO based HVDC system under AC system fault conditions. PhD Thesis, Zhejiang University, China, 2008.
Negra NB, Todorovic J, Ackermann T. Loss evaluation of HVAC and HVDC transmission solutions for large offshore wind farms. Electric Power Systems Research 2006; 76: 916-27. http://dx.doi.org/10.1016/j.epsr.2005.11.004 DOI: https://doi.org/10.1016/j.epsr.2005.11.004
Wulue P, Zheng X, Jing Z, et al. Dissipation analysis of VSC-HVDC converter. Proceedings of the CSEE 2008; 28(21): 7-14.
Lin L, Ming Y, Fang Y, et al. German Offshore Wind Power Development: Analysis and Enlightenment. Energy Technology and Economics 2011; 23(8): 47-52.
Kent HS, Peter C. DC feeder for connection of a wind farm. CIGRE, Kuala Lumpur, Malaysia 1999; 1-5.
Yifan Z. Application of flexible HVDC transmission technology in grid-connected wind power. East China Electric Power 2011; 07: 1130-1133.
Asplund G, Eriksson K, Svensson K. DC transmission based on voltage source converters. CIGRE SC14 Colloquium, South Africa, 1997; pp. 1-8.
Cunjian T. Application and research of HVDC flexible in wind power. PhD Thesis, Nanchang University, China 2013.
Jun W, Yigong Z, Mingxiao H. HVDC based on voltage source converter-a new generation of HVDC technique. Power System Technology 2003; 27(1): 47-51.
Qian C. Operation and control of VSC based multi-terminal HVDC system. PhD Thesis, Southeast University, China 2004.
Kent S, Dennis W, Regine B. AC cable versus DC cable transmission for offshore wind farms, a study case. Fourth International Workshop on Large-Scale Integration of Wind Power and Transmission Networks for Offshore Wind Farms; Denmark 2003.
Perez M, Rodriguez J. Power distribution in hybrid multi-cell converter with nearest level modulation. Proc IEEE ISIE 2007. DOI: https://doi.org/10.1109/ISIE.2007.4374688
Balu NJ, et al. Multiterminal HVDC control for evaluating power transfer capability in combined AC-DC systems. International Conference on Large High Voltage Electric Systems; Paris, France 1986.
Carroll DP, Ong CM. Coordinated power modulation in multi-terminal HVDC systems. IEEE Trans on Power Apparatus and Systems 1981; PAS-100(3): 1351-1361. http://dx.doi.org/10.1109/TPAS.1981.316608 DOI: https://doi.org/10.1109/TPAS.1981.316608
Long WF, Reeve J, McNichol JR. Applihbucation aspects of multi-terminal DC power transmission. IEEE Transactions on Power Delivery 1990; 5(4): 2084-2098. http://dx.doi.org/10.1109/61.103704 DOI: https://doi.org/10.1109/61.103704
Xia C. Wind power integration using multi-terminal HVDC technology. PhD Thesis, Huazhong University of Science & Technology, China 2012.
Dongxu S. Research on dispatching for wind farm integrated system based on power forecasting. PhD Thesis, Beijing Jiaotong Unniversity, China 2014.
Yuanzhang S, Jun H, Guojie L. Dynamic economic dispatch considering wind power penetration based on wind speed forecasting and stochastic programming. Proceedings of the CSEE 2009; 29(4): 41-7.
Gonggui C, Jinfu C. Environmental economic dynamic dispatch modeling and method for power systems integrating wind farms. Proceedings of the CSEE 2013; 33(10): 27-35.
Kennedy S. Wind power planning: assessing long-term costs and benefits. Energy Policy 2005; 33: 1661-75. http://dx.doi.org/10.1016/j.enpol.2004.02.004 DOI: https://doi.org/10.1016/j.enpol.2004.02.004
Tiejiang Y, et al. Electricity market-oriented optimization of environmental economic dispatching for power grid containing wind power. Power System Technology 2009; 33: 131-5.
Qiaoyan Y, Buliu W, Yuewen J. Analysis for reserved capacity of system with wind power connecting into system. Dianli Yu Diangong 2009; 2:32-5.
Bosch PP. Optimal dynamic dispatch owing to spinning reserve and power rate limits. IEEE Trans on Power Apparatus and Systems 1985; 12: 356-65.
Wei Z, Yu P, Hui S, et al. Dynamic economic dispatch in wind power integrated system. Proceedings of the CSEE 2009; 29(25): 13-8.
Hetzer J, Yu DC. An economic dispatch model incorporating wind power. IEEE Trans on Power Energy Conversion 2008; 11: 467-75. DOI: https://doi.org/10.1109/TEC.2008.914171
Guohui X. Study on green generation dispatch mode and model. PhD Thesis, North China Electric Power University, China 2010.
Xiaoqiang N. Wind power forecasting technology and its operation analysis. PhD Thesis, Southwest Jiaotong University, China 2012.
Alexiadis MC, Dokopulos PS, Sahsamanoglu HS. Short-term forecasting of wind speed andrelated electrical power. Solar Energy 1998; 63: 61-8. http://dx.doi.org/10.1016/S0038-092X(98)00032-2 DOI: https://doi.org/10.1016/S0038-092X(98)00032-2
Fourly T, Sadany E, Salama M. Grey predictor for wind power energy conversion systems output prediction. IEEE Trans on Power Systems 2006; 21: 1450-2. http://dx.doi.org/10.1109/TPWRS.2006.879246 DOI: https://doi.org/10.1109/TPWRS.2006.879246
Lei D, Lijie W, Ying H. Wind power capacity forecast based on ARMA model. ACTA Energy Solaris Sinica 2011; 32: 617-22.
Bates JM, Granger C. The combination of forecast. Operation Research Quarterly 1969; 20: 451-468. http://dx.doi.org/10.1057/jors.1969.103 DOI: https://doi.org/10.1057/jors.1969.103
Mehmet B, Besir S, Abdulkadir Y. Application of artificial neural networks for the wind speed prediction of target station using reference stations data. Renewable Energy 2007; 32: 2350-60. http://dx.doi.org/10.1016/j.renene.2006.12.001 DOI: https://doi.org/10.1016/j.renene.2006.12.001
Sfetsos. A novel approach for the forecasting of mean hourly wind speed time series. Renewable Energy 2002; 27: 163-74. http://dx.doi.org/10.1016/S0960-1481(01)00193-8 DOI: https://doi.org/10.1016/S0960-1481(01)00193-8
Damousis IG, Aleciadis MC, Theocharis JB, et al. A fuzzy model for wind speed prediction and power generation in
wind parks using spatial correlarion. Energy Conversion 2004; 19: 352-61. http://dx.doi.org/10.1109/TEC.2003.821865 DOI: https://doi.org/10.1109/TEC.2003.821865
Chun L, Gaofeng F, Weisheng W. A combination forecasting model for wind farm output power. Power System Technology 2009; 33:74-9.
Mohammad M, Rastegar H, Kojabadi HM. A new strategy for wind seed forecasting using artificial intelligent methods. Renewable Energy 2009; 34:845-8. http://dx.doi.org/10.1016/j.renene.2008.04.017 DOI: https://doi.org/10.1016/j.renene.2008.04.017
Folea M, Leahy PG, Marvuflia A, et al. Current methods and advances in forecasting of wind power generation. Renewable Energy 2012; 37:1-8. http://dx.doi.org/10.1016/j.renene.2011.05.033 DOI: https://doi.org/10.1016/j.renene.2011.05.033
Jun L. Status and tend analysis on grid integration key technologies of renewable energy power generation. Shanxi Electric 2013; 04: 47-52.
Peng L, Yongrui S, Wei L, et al. Overview and prospect of wind turbine control technologies. Electric Automation 2010; 05: 1-4+7.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 Journal of Technology Innovations in Renewable Energy
This work is licensed under a Creative Commons Attribution 4.0 International License.
Policy for Journals/Articles with Open Access
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
Policy for Journals / Manuscript with Paid Access
Authors who publish with this journal agree to the following terms:
- Publisher retain copyright .
- Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work .
