Application of artificial neural networks in power system security and vulnerability assessment

Journal Article · Tue Feb 01 00:00:00 EST 1994 · IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/59.317570· OSTI ID:7201083

Zhou, Qin; Davidson, J; Fouad, A A

In a companion paper the concept of system vulnerability is introduced as a new framework for power system dynamic security assessment. Using the TEF method of transient stability analysis, the energy margin [Delta]V is used as an indicator of the level of security, and its sensitivity to a changing system parameter p ([partial derivative][Delta]V/[partial derivative]p) as indicator of its trend with changing system conditions. These two indicators are combined to determine the degree of system vulnerability to contingent disturbances in a stability-limited power system. Thresholds for acceptable levels of the security indicator and its trend are related to the stability limits of a critical system parameter (plant generation limits). Operating practices and policies are used to determine these thresholds. In this paper the artificial neural networks (ANNs) technique is applied to the concept of system vulnerability within the recently developed framework, for fast pattern recognition and classification of system dynamic security status. A suitable topology for the neural network is developed, and the appropriate training method and input and output signals are selected. The procedure developed is successfully applied to the IEEE 50-generator test system. Data previously obtained by heuristic techniques are used for training the ANN.

• OSTI ID: 7201083
• Journal Information: IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States), Vol. 9:1; ISSN 0885-8950
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
NEURAL NETWORKS
USES
POWER SYSTEMS
STABILITY
CALCULATION METHODS
ELECTRICAL TRANSIENTS
EXPERT SYSTEMS
ENERGY SYSTEMS
TRANSIENTS
VOLTAGE DROP
240100* - Power Systems- (1990-)
990200 - Mathematics & Computers