Two-stage Robustness Optimization Scheduling for Active Distribution Networks Considering Multiple Uncertainties
With the increasing penetration rate of renewable energy in active distribution networks and the diversification of the equipment at load side,the optimization operation of active distribution networks faces uncertainty from both supply and demand sides.In view of that the multiple uncertainties in the active distribution network scheduling process were not comprehensively considered in the existing researches,a two-stage robustness optimization model considering wind-light-load uncertainty was established.Firstly,a box uncertainty set was used for uncertainty modeling,and the conservatism of the scheduling strategy was changed by flexibly adjusting uncertain parameters;then,the column and constraint generation algorithm was used to solve the optimization model,and the main problem and sub problem were transformed into mixed integer linear programming problems through the strong duality theory;finally,the simulation analysis demonstrated the effectiveness of the two-stage robustness optimization model and its solving algorithm proposed.The resulting scheduling strategy has higher adaptability and can meet practical scheduling needs.
active distribution networkmultiple uncertaintiestwo-stage robustness optimizationC&CG algorithmduality theory
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