摘要
储能是支撑构建新型电力系统的关键装备,针对单一主体在特定应用场景下投资储能存在成本疏导难、投资回报低的问题。通过“众筹共建、集群共享”的商业模式可以提升储能利用率和收益,在多主体间实现储能资源的成本分摊、利益共享。因此,基于共建共享商业模式,提出考虑多投资主体下兼顾多场景需求的储能规划框架,并建立为数据驱动的分布鲁棒优化模型,通过综合范数约束刻画新能源出力的不确定性;同时在优化模型中构建了动态频率安全约束以保障系统频率安全,并通过线性化方法将复杂非凸的频率最低点约束转换为线性约束。其次,采用CCG算法对规划模型进行求解。最后,基于Shapley值法的成本分摊机制对共建共享模式下储能投资成本进行合理分摊。通过IEEE39节点系统验证了模型有效性,结果表明所提方法可以兼顾多主体多场景对储能的需求,同时降低各主体的投资成本。
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 framework 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 depicted 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 programming 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.
作者
陆秋瑜
胡骞文
杨银国
谢平平
刘洋
李更丰
LU Qiuyu;HU Qianwen;YANG Yinguo;XIE Pingping;LIU Yang;LI Gengfeng(Guangdong Power Grid Dispatch and Control Center,Guangzhou 510000,China;State Key Laboratory of Electrical Insulation and Power Equipment,Xi'an Jiaotong University,Xi'an 710049,China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2024年第10期4680-4690,I0013,共12页
High Voltage Engineering
基金
中国南方电网公司科技项目(036000KK52220025(GDKJXM20220329))。
关键词
储能
优化规划
共建共享商业模式
成本分摊
分布鲁棒优化
多场景需求
energy storage
optimization planning
co-construction and sharing business model
cost allocation
distributionally robust optimization
multi-scenario demand
