Multicontingency transient stability constrained optimal power flow by genetic algorithm

This paper presents a new genetic algorithm based approach for solving multi-contingency transient stability constrained optimal power flow (MC- TSCOPF) problem. In this approach, the MC-TSCOPF problem is formulated as an extended optimal power flow (OPF) with additional generator rotor angle constraints and is converted into an unconstrained optimization problem, which is suitable for genetic algorithms to deal with, using a penalty function. Experiment results on the New England 39-bus system show that the purposed approach is capable of dealing with multiple contingencies and complex power system models. (6 pages)