考虑节点与网架协同的主动配电网灵活性资源优化配置方法OA

[Objective]With the increasing penetration of distributed wind and photovoltaic generation in distribution networks,their inherent variability and intermittency have imposed higher requirements on network flexibility.Inadequate flexibility may lead to issues such as wind and solar power curtailment and power flow violations.Enhancing flexibility by exploiting the adjustable capabilities of nodal hosting and grid transfer capacity is regarded as an effective approach.This paper proposes a coordinated planning method for nodal-grid flexibility resources in active distribution networks.[Methods]First,flexibility resource models at both the nodal and grid levels were developed to accurately represent the nodal hosting capacity and grid transmission capability.Second,a flexibility demand model and a corresponding evaluation index system were constructed to quantify the system's flexibility supply capacity.Then,four types of flexibility resources—soft open points(SOP),hybrid energy storage systems(HESS),demand response(DR),and network reconfiguration—were considered,and an optimization strategy for their coordinated allocation was proposed.To account for operational uncertainties,time-series-correlated scenarios were generated.The resulting optimization problem was formulated as a mixed-integer second-order cone programming model using the big-M method and second-order cone relaxation techniques.[Results]Case studies based on an improved IEEE 33-bus distribution system demonstrated that the proposed time-series-correlated scenario generation approach more accurately reflects the operational characteristics of distribution networks compared to traditional uncertainty-handling methods.Although the coordinated allocation strategy increased annual investment to some extent,it reduced the total annual cost by 16.9%,ensured a balance between flexibility supply and demand,and mitigated power flow fluctuations in the grid.[Conclusions]The proposed method fully leverages the complementary strengths of various flexibility resources,significantly enhancing distribution network flexibility and alleviating grid congestion.This work provides valuable insights and technical support for planning distribution networks with high penetration of distributed wind and solar generation.