Towards static-security assessment of a large-scale power system using neural networks

A fundamental framework for network security

“…A variation of the audit trail concept has been proposed for the electric power industry. Weerasooriya and colleagues [26] present a neural-network solution to the problem of security assessment in large-scale power systems. They use neural nets for fast pattern matching of the state of the power system immediately following a 'contingency' with historical trends.…”

Power System Security Assessment and Contingency Analysis Using Supervised Learning Approach

“…The application of mu lti-layer perceptron neural network to dynamic security contingency screening and ranking has been exp lored in [3][4][5][6].The in formation on the prevailing operating condition was used to provide contingency screening and ranking from a trained neural network. A back propagation trained multi-perceptron for power system contingency screening and static-security assessment has been used in [7][8][9][10][11]. Power system is said to be in secure condition if system's operating point remains in the acceptable ranges, even during disturbances in the power system.…”

Optimal location and parameters setting of UPFC based on GA and PSO for enhancing power system security under single contingencies

“…Different contingency selection methods can be found in [11] - [14]. Operation scheme of FACTS devices to enhance the power system steady-state security level considering a line T contingency analysis is suggested in [15].…”