Reference : Estimation of rotor angles of synchronous machines using artificial neural networks a...
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/9352
Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities
English
Del Angel, A. [Université de Liège - ULG > Département d'Electricité, d'Electronique et d'Informatique > Systèmes et Modélisation > >]
Geurts, Pierre mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Ernst, Damien mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Glavic, M. [Université de Liège - ULG > Département d'Electricité, d'Electronique et d'Informatique > Systèmes et Modélisation > >]
Wehenkel, Louis mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Oct-2007
Neurocomputing
Elsevier Science Bv
70
16-18
2668-2678
Yes (verified by ORBi)
International
0925-2312
Amsterdam
[en] multilayer perceptrons ; transient stability monitoring and control ; phasor measurement units ; electric power systems
[en] This paper investigates a possibility for estimating rotor angles in the time frame of transient (angle) stability of electric power systems, for use in real-time. The proposed dynamic state estimation technique is based on the use of voltage and current phasors obtained from a phasor measurement unit supposed to be installed on the extra-high voltage side of the substation of a power plant, together with a multilayer perceptron trained off-line from simulations. We demonstrate that an intuitive approach to directly map phasor measurement inputs to the neural network to generator rotor angle does not offer satisfactory results. We found out that a good way to approach the angle estimation problem is to use two neural networks in order to estimate the sin(delta) and cos(delta) of the angle and recover the latter from these values by simple post-processing. Simulation results on a part of the Mexican interconnected system show that the approach could yield satisfactory accuracy for realtime monitoring and control of transient instability. (c) 2007 Elsevier B.V. All rights reserved.
http://hdl.handle.net/2268/9352

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