摘要
多元的应用场景和丰富的商业模式是共享储能的规模化布局的有效途径,有利于提升共享储能的经济效益,同时丰富电网的调节性资源。基于共享储能的自主性和趋利性,提出了市场环境下考虑风电场的集群租赁的共享储能配置的双层鲁棒优化方法。描述了共享储能提供租赁服务和参与现货市场交易的商业运营模式。考虑风电机组的出力和现货价格在多时间尺度的不确定性,构建了共享储能配置的主从博弈的鲁棒优化模型。模型上层以共享储能的年成本最小化为目标,确定风电场集群互动博弈的场景下共享储能各时段的租赁价格及容量规划方案;模型下层以风电场集群的考核成本最低为目标,利用各时段租赁价格和风电机组的输出功率的最恶劣场景下租赁需求,来更新各时段租赁容量。通过多场景对比分析验证了配置结果的有效性,为共享储能的多应用场景的容量优化配置提供了新思路。
Multiple application scenarios and rich business models are effective ways to scale the layout of shared energy storage,which is conducive to improving the economic benefits of shared energy storage and can also supplement the regulatory resources of the power grid.Based on the autonomy and convenience of shared energy storage,a robust two-layer optimization method for shared energy storage configuration that considers cluster leasing of wind farms in the market environment is proposed.This paper describes the commercial operation model of shared energy storage to provide leasing services and participate in spot market transactions.Considering the uncertainty of wind turbine output and spot price on multiple time scales,a master-slave game robust optimization model of shared energy storage configuration is constructed.The upper layer of the model aims to minimize the annual cost of shared energy storage.It determines the lease price and capacity planning scheme of each period of shared energy storage under the scenario of an interactive game of wind farm clusters.The lower layer of the model aims at the lowest assessment cost of the wind farm cluster.It uses the lease price of each period and the leasing demand under the worst scenario of the output power of the wind turbine to update the lease capacity of each period.The validity of the configuration results is verified through multi-scenario comparative analysis,which provides a new idea for the capacity optimization configuration of multi-application scenarios with shared energy storage.
作者
马楠
刘国伟
吴杰康
雷振
王益军
辛立胜
MA Nan;LIU Guowei;WU Jiekang;LEI Zhen;WANG Yijun;XIN Lisheng(Shenzhen Power Supply Bureau Co.,Ltd.,Shenzhen 518000,Guangdong Province,China;School of Automation,Guangdong University of Technology,Guangzhou 510006,Guangdong Province,China)
出处
《电网技术》
北大核心
2025年第2期653-665,I0079-I0082,共17页
Power System Technology
基金
中国南方电网有限责任公司科技项目(03600KK52200049(GDKJXM20201978))。
关键词
市场环境
共享储能
容量配置
鲁棒优化
风电场集群
租赁服务
主从博弈
market environment
shared energy storage
capacity configuration
robust optimization
wind farm cluster
rental services
master-slave game
