On-line Estimation of Power System Security Limits
نویسندگان
چکیده
This paper proposes a fast pattern matching technique using Artificial Neural Networks that takes advantage of the off-line studies to accurately estimate security limits on-line. The precise methodology of operation planners is followed to establish the limits used to train the networks. A hierarchical design combining margin estimators for different security criteria and operating conditions is developed. Here this framework is applied to dynamic security.
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