A Novel Two-stage Robust Model for Co-optimization of Reconfiguration and Reactive Power in AC/DC Hybrid Distribution Network

Abstract

With the rapid development of power electronic technology and the great increase of DC load, the AC/DC hybrid distribution system has become a new trend of distribution network development. How to realize the optimal operation of such a system is becoming one of the most concerned topics. In this paper, a new two-stage robust co-optimization model for AC/DC hybrid distribution network reconfiguration and reactive power is proposed for the first time. The first stage of the model is to optimize the decision variables under the expected scenario with the objective of minimizing the comprehensive operation cost. In the second stage, based on the integer variable solution determined in the first stage as well as the uncertainty set of load and the output of the wind turbine and photovoltaic, the values of the continuous decision variables obtained in the first stage are optimized to realize the feasibility under the worst scenario. The model established is a complex nonlinear mixed integer optimization model, which cannot be solved directly. It is transformed into an approximate linear model with the cone relaxation method and the linearization method, and then solved by the column and constraint generation (C&CG) algorithm. The results of the examples show the validity and correctness of the model and algorithm proposed.