Abstract
AbstractIn this paper new algorithms for contingency evaluation and a test of their validity with respect to accuracy are presented. These algorithms are based on a quantitative knowledge established for an arbitrary network operating state. The knowledge base is acquired by quantifying the impact of all single‐branch outages on the voltage and current profile using AC load‐flow‐based techniques. The acquired knowledge base can be utilized together with the derived formulae to evaluate the impact of multiple‐branch outages. Based on these formulae a technique has been proposed for updating the knowledge base to reflect changes in network topology. The knowledge‐base updating technique is efficient and the computational requirements are small. By defining a branch‐outage dependency factor an approach is presented to quantify the accuracy level of the results of multiple‐branch outages and to identify multiple‐branch outages leading to large computational errors. Generation unit failures are modelled using branch outages.
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