Data-driven Robust Service Restoration Method for Flexible Interconnected Distribution Networks Based on Multi-flow Fusion
The traditional distribution network has achieved multi-flow fusion of"service flow-energy flow-information flow-control flow"through flexible interconnection;consequently,the next step is how to better address the impact of distributed photovoltaic output uncertainty on the service flow of service restoration.Therefore,this paper proposes a da-ta-driven robust service restoration method based on multi-flow fusion for flexible interconnected distribution networks.Firstly,a multi-period service restoration model was established within the framework of multi-flow fusion in flexible in-terconnected distribution networks,which mainly included the service flow objectives of service restoration and the constraints of energy flow-information flow-control flow fusion.Then,a data-driven hyperplane polyhedron set model was established to address the problem of high conservatism in the scaling process of convex hull polyhedron sets that describe the uncertainty of distributed photovoltaic output.Furthermore,a robust service restoration model for flexible interconnected distribution networks was constructed and solved using column and constraint generation algorithms.Fi-nally,through the modified IEEE-33 node system and actual demonstration engineering system simulation verification,the results show that the data-driven robust service restoration method based on multi-flow fusion for flexible intercon-nected distribution networks can be adopted to reduce conservatism and improve the robustness of service restoration results.
flexible interconnected distribution networkmulti-flow fusionhyperplane polyhedron setservice restora-tiontwo-stage robust optimization
万方数据
维普
