SCIENTIA SINICA Informationis, Volume 48 , Issue 10 : 1316-1332(2018) https://doi.org/10.1360/N112018-00076

Hierarchical distributed model predictive control of hybrid wind and solar generation system

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  • ReceivedApr 1, 2018
  • AcceptedJun 28, 2018
  • PublishedOct 26, 2018


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[1] Ci S, Li H J, Chen X, et al. The cornerstone of energy internet: research and practice of distributed energy storage technology. Sci Sin Inform, 2014, 44: 762--773. Google Scholar

[2] Qi W, Liu J, Chen X. Supervisory Predictive Control of Standalone Wind/Solar Energy Generation Systems. IEEE Trans Contr Syst Technol, 2011, 19: 199-207 CrossRef Google Scholar

[3] Qi W, Liu J, Christofides P D. Distributed Supervisory Predictive Control of Distributed Wind and Solar Energy Systems. IEEE Trans Contr Syst Technol, 2013, 21: 504-512 CrossRef Google Scholar

[4] Kong X, Liu X, Lee K Y. An Effective Nonlinear Multivariable HMPC for USC Power Plant Incorporating NFN-Based Modeling. IEEE Trans Ind Inf, 2016, 12: 555-566 CrossRef Google Scholar

[5] Kong X, Liu X, Lee K Y. Nonlinear multivariable hierarchical model predictive control for boiler-turbine system. Energy, 2015, 93: 309-322 CrossRef Google Scholar

[6] Scattolini R. Architectures for distributed and hierarchical Model Predictive Control - A review. J Process Control, 2009, 19: 723-731 CrossRef Google Scholar

[7] Zhao H, Wu Q, Guo Q. Distributed Model Predictive Control of a Wind Farm for Optimal Active Power ControlPart II: Implementation With Clustering-Based Piece-Wise Affine Wind Turbine Model. IEEE Trans Sustain Energy, 2015, 6: 840-849 CrossRef ADS Google Scholar

[8] Zhang B M, Chen J H, Wu W C. A hierarchical model predictive control method of active power for accommodating large-scale wind power integration. Autom Electric Power Syst, 2014, 38: 6--14. Google Scholar

[9] Trifkovic M, Sheikhzadeh M, Nigim K. Modeling and Control of a Renewable Hybrid Energy System With Hydrogen Storage. IEEE Trans Contr Syst Technol, 2014, 22: 169-179 CrossRef Google Scholar

[10] Tavakoli A, Negnevitsky M, Muttaqi K M. A Decentralized Model Predictive Control for Operation of Multiple Distributed Generators in an Islanded Mode. IEEE Trans Ind Applicat, 2017, 53: 1466-1475 CrossRef Google Scholar

[11] Abdin E S, Xu W. Control design and dynamic performance analysis of a wind turbine-induction generator unit. IEEE Trans Evol Comput, 2000, 3: 91--96. Google Scholar

[12] Zhao H, Wu Q, Guo Q. Distributed Model Predictive Control of a Wind Farm for Optimal Active Power ControlPart I: Clustering-Based Wind Turbine Model Linearization. IEEE Trans Sustain Energy, 2015, 6: 831-839 CrossRef ADS Google Scholar

[13] Liu X, Kong X. Nonlinear Model Predictive Control for DFIG-Based Wind Power Generation. IEEE Trans Automat Sci Eng, 2014, 11: 1046-1055 CrossRef Google Scholar

[14] Kou P, Liang D, Gao F. Coordinated Predictive Control of DFIG-Based Wind-Battery Hybrid Systems: Using Non-Gaussian Wind Power Predictive Distributions. IEEE Trans Energy Convers, 2015, 30: 681-695 CrossRef ADS Google Scholar

[15] Zheng Y, Li S Y. Networked Cooperative Distributed Model Predictive Control for Dynamic Coupling Systems. Acta Automatica Sin, 2013, 39: 1778-1786 CrossRef Google Scholar

[16] Kong X B, Fan C, Liu X J. Distributed supervisory predictive control of main steam temperature for ultra-supercritical unit. J Shanghai Jiao Tong Univ, 2017, 51: 1252--1259. Google Scholar

[17] Hofierka J, Ri M. The solar radiation model for open source GIS: implementation and applications. In: Proceedings of the Open Source GIS -- GRASS Users Conference, Trento, 2002. Google Scholar

[18] Grunnet J D, Soltani M, Knudsen T, et al. Aeolus toolbox for dynamic wind farm model, simulation and control. In: Proceeding of European Wind Energy Conference and Exhibition, 2010. Google Scholar

[19] Ma M, Shao L, Liu X. Coordinated control of micro-grid based on distributed moving horizon control. ISA Trans, 2018, 76: 216-223 CrossRef PubMed Google Scholar