An improved hybrid approach for transient stability-constrained optimal power flow

摘要

In this paper, an improved hybrid approach which is based on classic programming, evolutionary algorithm (EA) and critical machine (CM) theory is proposed for faster convergence of multi-contingency transient stability-constrained optimal power flow (TSC-OPF) computation. The method involves two iterative steps, in which the first step searches the solution region that fits the required transient stability constraints with EA and the second probes the optimal operating point deterministically in that region via conventional OPF computation process. The optimization process of this method is based on the results of transient stability assessment (TSA) procedure, and stability margin of each contingency is used as the transient stability index (TSI). To reduce the computation time and achieve higher searching efficiency, critical machines involved in each contingency are identified prior to the optimizing process and adjustments are made only on them during the process. Effectiveness and reliability of the proposed improved hybrid computation method are verified on the New England 10-generator, 39-bus test system. The outcome is compared with the original hybrid method.