Sustainability in Energy and Buildings pp 101-110 | Cite as
Model Predictive Control of Wind Energy Storage System for Frequency Regulation
Conference paper
Abstract
This paper presents a method to regulate the power frequency at a nominal value using a battery energy storage system (BESS). A control system model is proposed to simulate the BESS for frequency control application. A controller based on model predictive control (MPC) is designed for the optimal operation of the BESS for primary frequency regulation. A frequency prediction model based on Grey theory is also designed to optimize the performance of our controller. The method is tested using real measurements from a real power grid in the presence of multiple and realistic physical system constraints. The effectiveness of the proposed frequency regulation scheme is demonstrated with a simulation example.
Keywords
Model Predictive Control Energy Storage System Real Frequency Battery Energy Storage System Control System Model
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References
- 1.Baker, J., Collinson, A.: Electrical energy storage at the turn of the Millennium. Power Engineering Journal 13(3), 107–112 (1999)CrossRefGoogle Scholar
- 2.Breton, S., Moe, G.: Status, plans and technologies for offshore wind turbines in Europe and North America. Renewable Energy 34(3), 646–654 (2009)CrossRefGoogle Scholar
- 3.Kothari, D.P., Nagrath, I.J.: Modern Power System Analysis, 3rd edn. McGraw-Hill, Singapore (2003)Google Scholar
- 4.Shayeghi, H., Shayanfar, H.A., Jalili, A.: Load frequency control strategies: A state-of-the-art survey for the researcher. Energy Conversion and Management 50(2), 344–353 (2009)CrossRefGoogle Scholar
- 5.Kottick, D., Blau, M., Edelstein, D.: Battery energy storage for frequency regulation in an island power system. IEEE Transactions on Energy Conversion 8(3), 455–459 (1993)CrossRefGoogle Scholar
- 6.Alt, J.T., Andersen, M.D., Jungst, R.G.: Assessment of utility side cost savings from battery energy storage. IEEE Transactions on Power Systems 12(3), 1112–1120 (1997)CrossRefGoogle Scholar
- 7.Aditya, S.K., Das, D.: Battery energy storage for load frequency control of an interconnected power system. Electric Power Systems Research 58(3), 179–185 (2001)CrossRefGoogle Scholar
- 8.Oudalov, A., Chartouni, D., Ohler, C.: Optimizing a battery energy storage system for primary frequency control. IEEE Transactions on Power Systems 22(3), 1259–1266 (2007)CrossRefGoogle Scholar
- 9.Richalet, J.: Industrial applications of model based predictive control. Automatica 29(5), 1251–1274 (1993)CrossRefMathSciNetGoogle Scholar
- 10.Goodwin, G.C., Graebe, S.F., Salgado, M.E.: Control System Design. Prentice-Hall, New Jersey (2001)Google Scholar
- 11.Coppen, P.: Using intelligent storage to smooth wind energy generation (November 2008), http://www.feast.org/roundtable2008/presentations/
- 12.Saadat, H.: Power System Analysis. McGraw-Hill, USA (1999)Google Scholar
- 13.Kundur, P.: Power system stability and control. McGraw-Hill, New York (1994)Google Scholar
- 14.Chaturvedi, D.K., Satsangi, P.S., Kalra, P.K.: Load frequency control: A generalized neural network approach. International Journal of Electrical Power and Energy System 21(6), 405–415 (1999)CrossRefGoogle Scholar
- 15.Yes, E., Güzelkaya, I.M., Eksin, I.: Self tuning fuzzy PID type load and frequency controller. Energy Conversion and Management 45(3), 377–390 (2004)CrossRefGoogle Scholar
- 16.Pan, C.-T., Liaw, C.-M.: Adaptive controller for power system load-frequency control. IEEE Transactions on Power Systems 4(1), 122–128 (1989)CrossRefGoogle Scholar
- 17.Aldeen, M., Trinh, H.: Load-frequency control of interconnected power systems via constrained feedback control schemes. Computers and Electrical Engineering 20(1), 71–88 (1994)MATHCrossRefGoogle Scholar
- 18.Rerkpreedaping, D., Hasanovic, A., Feliachi, A.: Robust load frequency control using genetic algorithms and linear matrix inequalities. IEEE Transactions on Power Systems 18(2), 855–861 (2003)CrossRefGoogle Scholar
- 19.Lu, C., Liu, C., Wu, C.: Effect of battery energy storage system on load frequency control considering governor deadband and generation rate constraint. IEEE Trans. on Energy Conversion 10(3), 555–561 (1995)CrossRefGoogle Scholar
- 20.Mayne, D.Q., Rawlings, J.B., Rao, C.V., Scokaert, P.O.M.: Constrained model predictive control: Stability and optimality. Automatica 36(6), 789–814 (2000)MATHCrossRefMathSciNetGoogle Scholar
- 21.UCTE Operation Handbook (2004), http://www.ucte.org/ohb/cur_status.asp
- 22.El-Fouly, T.H.M., El-Saadany, E.F., Salama, M.M.A.: Grey predictor for wind energy conversion systems output power production. IEEE Transactions on Power Systems 21(3) (August 2006)Google Scholar
- 23.Savkin, A.V., Petersen, I.R.: Robust H ∞ control of uncertain linear systems with structured uncertainty. Journal of Mathematical Systems, Estimation and Control 6(3), 349–442 (1996)MathSciNetGoogle Scholar
- 24.Savkin, A.V., Petersen, I.R., Moheimani, S.O.R.: Model validation and state estimation for uncertain continuous-time systems with missing discrete-continuous data. Computers and Electrical Engineering 25(1), 29–43 (1999)CrossRefGoogle Scholar
- 25.Savkin, A.V., Petersen, I.R.: Model validation for uncertain systems with an integral quadratic constraint. Automatica 32(4), 603–606 (1996)MATHCrossRefMathSciNetGoogle Scholar
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