Application of Pattern Recognition in Transient Security Assessment

ABSTRACT

One of the primary requirements of reliable service in electric power systems is to retain the synchronous machines running in parallel with adequate capacity to meet the load. In the normal operation of power systems, there may be faults or other large disturbances which have the potential of shifting the system operating point. Transient security assessment consists of determining whether the system oscillations, following the occurrence of a fault or a large disturbance from a contingency set, will cause loss of synchronism among the system generators. In order to have a highly reliable service, the system operating point has to be monitored and as soon as the system becomes vulnerable to a fault or disturbance, the control center should change the operating point of the system in a way to enhance its security. Pattern recognition is one of the promising methods for power system transient security assessment. The main objective of this method is to reduce the on-line computational requirement to a minimum. This paper is a review of the progress in the application of pattern recognition to power system transient security assessment. The recent results indicate that this method has reached a level of maturity that could be considered for on-line transient security assessment of real systems.