Economic supervisory predictive control of a hybrid power generation plant

Electric Power Systems Research

Volumn 127, Issue , 2015, Pages 221-229

  Dieulot, Jean Yves ^a   Colas, Fréderic ^b   Chalal, Lamine ^c   Dauphin Tanguy, Geneviève ^c  

^a ECOLE CENTRALE DE LILLE   (France)

^b University of Lille   (France)

^c ECOLE CENTRALE DE LILLE   (France)

Author keywords

Economic model predictive control; Hardware in the loop; Power system control; Renewable hybrid system; Supervisory predictive control

Indexed keywords

FUEL STORAGE; HARDWARE; HYBRID SYSTEMS; RENEWABLE ENERGY RESOURCES; SOLAR ENERGY; SYNTHETIC APERTURES;

ECONOMIC MODELING; HARD-WARE-IN-THE-LOOP; HYBRID POWER GENERATION; HYBRID RENEWABLE ENERGY SYSTEMS; POWER SYSTEM CONTROLS; PREDICTIVE CONTROL; PREDICTIVE CONTROL DESIGNS; PREDICTIVE CONTROL METHODS;

MODEL PREDICTIVE CONTROL;

EID: 84933050046     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2015.06.006     Document Type: Article

References (26)

1. S. Leva, and D. Zaninelli Hybrid renewable energy-fuel cell system: design and performance evaluation Electr. Power Syst. Res. 79 2009 316 324
2. M. Nehrir, C. Wang, K. Strunz, H. Aki, R. Ramakumar, J. Bing, Z. Miao, and Z. Salameh A review of hybrid renewable/alternative energy systems for electric power generation: configurations, control, and applications IEEE Trans. Sust. Energy 2 2011 392 403
3. G. Venkataramanan, M. Stadler, A. Siddiqui, R. Firestone, B. Chandran, and C. Marnay Optimal technology selection and operation of commercial-building microgrids IEEE Trans. Power Syst. 23 2008 1 10
4. G. Boukettaya, L. Krichen, and A. Ouali Fuzzy logic supervisor for power control of an isolated hybrid energy production unit J. Electr. Power Eng. 29 2007 279 285
5. V. Courtecuisse, J. Sprooten, B. Robyns, M. Petit, B. Francois, and J. Deuse A methodology to design a fuzzy logic based supervision of hybrid renewable energy systems Math. Comput. Simul. 81 2010 208 224
6. A. Hajizadeh, and M. Golkar Intelligent power management strategy of hybrid distributed generation system Int. J. Electr. Power Energy Syst. 29 2007 1264 1280
7. T.G. Hovgaard, L.F.S. Larsen, M.J. Skovrup, and J.B. Jorgensen Optimal energy consumption in refrigeration, systems - modelling and non-convex optimisation Can. J. Chem. Eng. 90 2012 1426 1433
8. A. Mohamed, and O. Mohammed Real-time energy management scheme for hybrid renewable energy systems in smart grid applications Electr. Power Syst. Res. 96 2013 133 143
9. D. Ipsakis, S. Voutetakis, P. Seferlis, F. Stergiopoulos, and C. Elmasides Power management strategies for a stand-alone power system using renewable energy sources and hydrogen storage Int. J. Hydrogen Energy 34 2009 7081 7095
10. F. Mohamed, and H. Koivo System modelling and online optimal management of microgrid using mesh adaptive direct search Int. J. Electr. Power Energy Syst. 32 2010 398 407
11. F. Guerin, D. Lefebvre, and V. Loisel Supervisory control design for systems of multiple sources of energy Control Eng. Pract. 20 2012 1310 1324
12. F. Valenciaga, and P. Puleston Supervisory control for a stand-alone hybrid generation system using wind and photovoltaic energy IEEE Trans. Energy Convers. 20 2005 398 405
13. J. Liu, X. Chen, P. Christofides, and W. Qi Supervisory predictive control of standalone wind/solar energy generation systems IEEE Trans. Control Syst. Technol. 19 2011 199 207
14. J. Liu, X. Chen, P. Christofides, and W. Qi A distributed control framework for smart grid development: energy/water system optimal operation and electric grid integration J. Process Control 21 2011 1054 1516
15. W. Qi, J. Liu, and P.D. Christofides Distributed supervisory predictive control of distributed wind and solar energy systems IEEE Trans. Control Syst. Technol. 21 2013 504 513
16. T.G. Hovgaard, K. Edlund, and J.B. Jorgensen The potential of economic mpc for power management 49th IEEE Conference on Decision and Control 2010
17. L. Chalal, J.-Y. Dieulot, F. Colas, and G. Dauphin-Tanguy Supervisory predictive control of a hybrid solar panels, microturbine and battery power generation plant IFAC PPPSC Power Plant and Power System Control, Toulouse, France 2012
18. C. Paolia, C. Voyanta, M. Musellia, and M. Niveta Forecasting of preprocessed daily solar radiation time series using neural networks Sol. Energy 84 2010 2146 2160
19. S. Chungpaibulpatana, W. Ongsakul, and Y. Sukamongkol A simulation model for predicting the performance of a solar photovoltaic system with alternating current loads Renew. Energy 27 2002 237 258
20. B. Bhangu, P. Bentley, D. Stone, and C. Bingham Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles IEEE Trans. Veh. Technol. 54 2005 783 784
21. T. Weigert, Q. Tian, and K. Lian State-of-charge prediction of batteries and battery-supercapacitor hybrids using artificial neural networks J. Power Sources 196 2011 4061 4066
22. F. Pai, and S. Hung A design and operation of power converter for microturbine powered distributed generator with capacity expansion capability IEEE Trans. Energy Convers. 23 2008 110 118
23. Y. Zhu, and K. Tomsovic Development of models for analyzing the load-following performance of microturbines and fuel cells Electr. Power Syst. Res. 62 2002 1 11
24. J. Martinez, V. Dinavahi, M. Nehrir, and X. Guillaud Tools for analysis and design of distributed resources. Part IV: Future trends IEEE Trans. Power Deliv. 26 2011 1671 1680
25. R. Dufo-Lopez, and J. Bernal-Agustin Design and control strategies of PV-diesel systems using genetic algorithms Sol. Energy 79 2005 33 46
26. S. Johansen, O. Hansen, and T. Gjengedal A qualitative approach to economic-environmental dispatch Energy Convers. 7 1992 367 373