Solving coordinated voltage optimization in distribution network based on a robust sequential quadratic programming algorithm

This paper investigates the optimal operation problem for distribution networks with the integration of distributed generation (DG). By considering the objectives of minimal line loss, minimal voltage deviation and maximum DG active power output, the proposed operational optimization formulation is a multi-object optimization problem. Through normalization of each objective function, the multi-objective optimization is transformed to single objective optimization. To solve such a non-convex problem, the trust region robust sequential quadratic programming (TRR-SQP) method is proposed which iteratively approximates by a quadratic programming with the trust region guidance. Numerical tests on IEEE 33-bus, and multiple actual systems show the applicability, and comparisons with the primal-dual interior point method and sequential linear programming method are provided.