Two-stage interval state estimation method for active distribution network based on σ-budget
Aiming at the problems such as few real-time measurement data and strong measurement uncer-tainty of active distribution network under the background of new power system,a two-stage interval state estimation method based on σ-budget is proposed for active distribution network.In the first stage,a mixed integer linear programming model is constructed,and the pseudo measurement data is used to replace the identified bad measurement data for improving the robustness of interval state estimation algorithm.In the second stage,a σ-budget based measurement uncertainty set is constructed based on the gene-ralized square and root error synthesis theory,which is adopted as the input feasible domain of interval state esti-mation model to overcome the high conservatism problem of interval state estimation algorithm.A linear op-timization iterative model of interval state estimation is constructed by combining the sparse matrix,so as to solve the interval upper and lower bounds of state variables more efficiently.The effectiveness of the proposed method is verified by the simulation of a modified IEEE 33-bus network,a modified IEEE 118-bus network,and an actual 26-bus distribution network in a city of Jiangsu.
active distribution networkinterval state estimationbad data identificationuncertainty setσ-budgeterror synthesis
万方数据
维普
