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Model predictive control of HVDC power flow to improve transient stability in power systems

Abstract : This paper addresses the problem of HVDC control using real-time information to avoid loss of synchronism phenomena in power systems. It proposes a discrete-time control strategy based on model predictive control, which solves at every time step an open-loop optimal-control problem using an A* event-tree search. Different optimisation criteria based on transient stability indices are compared. The paper presents simulations results for two benchmark systems with 9 and 24 buses, respectively, and an embedded HVDC-link. The results show that the control strategy leads to a modulation of the HVDC power flow that improves significantly the system's ability to maintain synchronism in the aftermath of a large disturbance.
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https://hal-supelec.archives-ouvertes.fr/hal-00656638
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Submitted on : Wednesday, January 4, 2012 - 4:57:55 PM
Last modification on : Friday, September 21, 2018 - 12:10:42 PM

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Yannick Phulpin, Jagabondhu Hazra, Damien Ernst. Model predictive control of HVDC power flow to improve transient stability in power systems. 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm), Oct 2011, Bruxelles, Belgium. 6p., ⟨10.1109/SmartGridComm.2011.6102391⟩. ⟨hal-00656638⟩

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