Reactive power optimization algorithm containing discrete variables based on sensitivity information

To solve the difficulties in the calculation of reactive power optimization caused by discrete variables, a reactive power optimization algorithm based on the in-depth analysis of the mathematical model of reactive power optimization and the solving principle of prima-dual interior point method is proposed, which makes the most of the sensitivity information of discrete variables. The algorithm makes full use of the optimization information embodied by the sensitivity, and adopts the approach of successively structuring discrete variables to improve the reliability of the sensitivity information and the feasibility of the optimal solution, with less calculation and easier operation. Finally, the rationality and effectiveness of the proposed method are verified by the analysis of examples.