RULE-BASED PROCEDURE FOR AUTOMATIC SELECTION OF CONTINGENCIES IN EVALUATION OF DYNAMIC SECURITY OF A POWER DISTRIBUTION SYSTEM

Dynamic security analysis of a power system is divided into several diverse sub-problems, including sub-problems that may be analyzed using artificial intelligence ("AI") technology. A rule-based topological analysis procedure distinguishes between outage contingencies that are definitely safe or harmless to the integrity of the power system, and potentially severe outage contingencies that are harmful to the power system. Initial outage selection correctly relates the state of the power system before the analysis. By methodically and automatically identifying potentially severe outages, the need for extensive off-line studies based on time domain simulations is avoided, thus promoting computational efficiency. This methodology further provides automatic detection of critical interfaces, e.g., flows through which may significantly impact the post-contingency state of the power system.