Efficient method based on adjoint sensitivity analysis for transient stability constrained optimal power flow
LIN Xiang yu, GENG Guang chao, JIANG Quan yuan
(College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)


Abstract: Aiming at the real time requirement of online preventive control in modern power system, an efficient method based on adjoint sensitivity analysis for transient stability constrained optimal power flow was proposed. Constraints conversion technology was adopted to relieve the curse of dimensionality. A two layer structure was proposed to implemented the algorithm: extended approximate Hessian matrix was adopted to improve the accuracy and convergence in optimization layer which was based on predictor corrector interior point method; in simulation layer, adjoint sensitivity analysis was adopted to achieve fast calculation of dynamic sensitivity, and very dishonest Newton method and Jacobian matrix reusing approach were applied to speed up calculation. The results indicate that the proposed approach can significantly improve computing efficiency of solving transient stability constrained optimal power flow. Comparison with existing method also shows the great speed advantage of the proposed method, which can meet the requirement of online preventive control in modern power system.
Key words: adjoint sensitivity analysis; transient stability; preventive control; interior point method