Distribution Network Reconfiguration Considering Demand-Side Resource Aggregators with Uncertain Renewable Energy

Distribution network reconfiguration can effectively optimize the operation of distribution networks and thus significantly enhance the reliability and economy of the system. However, the modern distribution system is configured with high proportions of uncertain clean energy generation and incorporates various demand-side resources, which poses a great challenge for its reconfiguration. To this end, this paper proposes a distribution network reconfiguration model considering demand-side resource aggregators with uncertain renewable energy. In the proposed solution, the demand response model of load aggregators and the storage aggregator model are developed, while the uncertainty of distributed generation is characterized through chance constraints. On this basis, the network loss and switching cost are integrated and combined with the improved Distflow model to establish the reconfiguration model. To address the nonconvexity of the model, the distribution network reconfiguration model is transformed into a mixed-integer second-order cone planning problem by the big-M method and second-order cone relaxation. The effectiveness of the proposed solution is extensively verified by simulation experiments on a modified IEEE 33-bus system.