Abstract
A simple, fast, efficient and reliable method for power system security assessment is presented. The method is based on pattern recognition and fuzzy estimation techniques. The security status of a power system operating condition is recognized from the stored knowledge about similar operating conditions. The method is able to classify the system operating condition into secure/insecure state; and for the insecure state it provides information about pertinent contingencies which may cause insecurity. The knowledge about the system operating conditions (patterns) are stored in a structured memory by grouping similar patterns into clusters which are arranged into a hierarchical tree structure. This enables a very fast two level search for the near neighbours of the input pattern. The security status of the input pattern is determined using a fuzzy estimation technique. This not only provides a very reliable security classification, but the fuzzy grade membership also provides a quantitative ‘level of confidence’ for the security classification. Digital simulation results exhibiting the characteristics of the proposed method are presented.
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