Real time preventive actions for transient stability enhancement with a hybrid neural network -- Optimization approach

Journal Article · Mon May 01 00:00:00 EDT 1995 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/59.387948· OSTI ID:82707

Miranda, V; Fidalgo, J N; Pecas Lopes, J A ^[1]; Almeida, L B ^[2]

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1. Univ. do Porto (Portugal)
2. Inst. Superior Tecnico, Lisboa (Portugal)

This paper reports a new approach in defining preventive control measures to assure transient stability relatively to one or several contingencies that may occur separately in a power system. Generation dispatch is driven not only by economic functions but also with the derivatives of the transient energy margin value; these derivatives are obtained directly from a trained Artificial Neural Network (ANN), using real time monitorable system values. Results obtained from computer simulations, for several contingencies in the CIGRE test system, confirm the validity of the developed approach.

• OSTI ID: 82707
• Report Number(s): CONF-940702-; ISSN 0885-8950; TRN: IM9533%%165
• Journal Information: IEEE Transactions on Power Systems, Vol. 10, Issue 2; Conference: 1994 Institute of Electrical and Electronic Engineers/Power Engineering Society (IEEE/PES) summer meeting, San Francisco, CA (United States), 24-28 Jul 1994; Other Information: PBD: May 1995
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
COMPUTERIZED CONTROL SYSTEMS
NEURAL NETWORKS
POWER SYSTEMS
STABILIZATION
ELECTRICAL TRANSIENTS