Abstract
Large interconnected power systems are exposed to many system disturbances that may impair system security and result in wide-spread damage. This paper discusses the development of advanced health monitoring systems for large interconnected power systems. The use of adaptive, data processing techniques to provide automatic early detection of system deterioration in large power systems is investigated. Areas of improvement in real-time system monitoring are identified and algorithms to detect both, oscillatory and abrupt changes in system behavior are proposed and tested. The applicability of the proposed monitoring system is evaluated using actual measurements from significant events.
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