Abstract
This paper describes the implementation of a distributed model predictive approach for automatic generation control. Performance results are discussed by comparing classical techniques (based on integral control) with model predictive control solutions (centralized and distributed) for different operational scenarios with two interconnected networks. These scenarios include variable load levels (ranging from a small to a large unbalance generated power to power consumption ratio) and simultaneously variable distance between the interconnected networks systems. For the two networks the paper also examines the impact of load variation in an island context (a network isolated from each other).
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References
Anderson, G.: Dynamics and Control of Electric Power Systems, Zurich, Switzerland (2012)
Elgerd, O.L.: Electric Energy Systems Theory. McGraw-Hill, USA (1970)
Igreja, J.M., Costa, S.J., Lemos, J.M., Cadete, F.M.: Multi-agent Predictive Control with Application in Intelligent Infrastructures. In: Intelligent Systems, Control and Automation, vol. 61 (2013)
Kundur, P.: Power System Stability and Control. McGraw-Hill, New York (1994)
Negenborg, R.R.: Multi-Agent Predictive Control with Applications to Power Network. PhD Thesis, Delft University of Technology, Netherland (2007)
Venkat, A.N., et al.: Distribute MPC Strategies with Applications to Power Systems Automatic Generation Control. IEEE Transactions on Control Systems Technologies 16(6) (2008)
Wang, L.: Model Predictive Control System Design and Implementation Using MATLAB. Springer, London (2009)
Zhang, Y., Li, S.: Networked model predictive control based on neighborhood optimization for serially connected large-scale process. Journal Process Control (17) (2006)
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Monteiro, L.M., Igreja, J.M. (2015). On Performance of Distributed Model Predictive Control in Power System Frequency Regulation. In: Moreira, A., Matos, A., Veiga, G. (eds) CONTROLO’2014 – Proceedings of the 11th Portuguese Conference on Automatic Control. Lecture Notes in Electrical Engineering, vol 321. Springer, Cham. https://doi.org/10.1007/978-3-319-10380-8_8
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DOI: https://doi.org/10.1007/978-3-319-10380-8_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10379-2
Online ISBN: 978-3-319-10380-8
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