Affine adjustable robust optimization method for load recovery in distribution networks considering net load uncertainty
To address the problem of double uncertainties of source and load in the process of load restoration,this paper proposes a load restoration adjustment strategy for distribution network based on affine adjustable robust optimization.First,based on the net load forecasting scenario,an optimization model with the maximum weighted load restoration as the objective function is built,and the optimal load restoration base value is determined.Second,the affine strategy is adopted,and the budget uncertainty set is employed to describe the uncertainty of the net load,and a load restoration adjustment scheme considering the net load error is built.In the solution process,a mixed integer linear programming model with quick resolution is obtained by dual transformation of bilinear variables.Finally,the improved 33-node system is employed for simulation.Our results show compared with the traditional robust optimization method,the proposed method reduces the conservatism of the optimization results and is helpful to accelerate the load restoration and reduce the losses caused by power outages.
国家科技期刊平台
NSTL
万方数据
