Functional transformation combined with modified SQP for transient stability-constrained OPF

Optimal power flow with transient stability constraints (OTS) is a nonlinear semi-infinite optimization technique, and is difficult to be solved precisely even for a small dimension power system. It is proposed, in this work, an approach that converts the infinite dimensional OTS in a finite dimensional optimization problem, being the variables the same as those of the optimal power flow (OFF) problem. A modified sequential quadratic programming (SQP) approach is utilized to solve the nonlinear optimization problem, and the optimal operating point can also be determined in a low computing time. Large-scale power systems with a large number of transient stability constraints can be dealt with this transformed technique combined with with the modified SQP. The proposed modified SQP approach was applied to the optimization of OTS in a test power system to verify the effectiveness of the approach.