Energy Storage Planning and Cost Allocation Considering Multi-scenario Demands Under Co-construction and Sharing Business Model
Energy storage device is key to support the construction of new power system.For a single entity,investment in energy storage under a specific application scenario is difficult to guide the cost and low return on investment.Through the business model of"crowdfunding co-construction and cluster sharing",energy storage utilization and benefits can be improved,and the cost allocation and benefit sharing of energy storage resources can be realized among multiple entities.Therefore,based on co-construction and sharing business model,this paper proposes an energy storage planning frame-work that considers multi-scenario demands of multiple investment entities,an energy storage planning framework is established as a data-driven distributionally robust optimization model,and the uncertainty of new energy output is de-picted via comprehensive norm constraints.At the same time,dynamic frequency safety constraint is established in the optimization model to ensure the safety of system frequency,and the complex non-convex nadir of frequency constraint is transformed into linear constraint by linearization technology.Secondly,the CCG algorithm is used to solve the pro-gramming model.Finally,the cost allocation mechanism based on the Shapley value method reasonably apportion the investment cost of energy storage under co-construction and sharing model.The validity of model is verified on the IEEE39-node system.The results show that the proposed energy storage planning method can compromise the demands of multi-entity and multi-scenario,and reduce the investment cost of each entity.
energy storageoptimization planningco-construction and sharing business modelcost allocationdistri-butionally robust optimizationmulti-scenario demand
万方数据
维普
