摘要
目前云储能的商业模式及市场机制尚不成熟,用户参与云储能服务的方式较为单一。同时,分布式储能多用于用户侧与可再生能源协同运行以平抑其出力的波动性,其不确定性导致的日前预测与日内运行(DAF-IDO)存在偏差。为此,提出了基于DAF-IDO储能动作偏差量的多园区分布式储能云服务交易机制,将运行与交易相结合,在解决DAF-IDO偏差的同时,为分布式储能用户参与云储能服务提供全新的市场途径。提出了DAF-IDO储能动作偏差量的确定方法,使得各园区运营商能够对园区储能供需量进行定量计算;制定了基于组合拍卖的园区间分布式储能云服务交易机制,并在云储能价格机制中加入谷时段补偿机制,在兼顾各方经济性的同时提升了用户参与云服务的积极性及自主性。通过算例仿真验证了所提机制的可行性和合理性。
At present,the business model and market mechanism of cloud energy storage are still immature,and the way of user participating in cloud energy storage service is relatively single.At the same time,the distributed energy storage is mostly used for user-side operation with renewable energy to smooth out the volatility of its output,and its uncertainty leads to the deviation of day-ahead forecasting-intraday operation(DAF-IDO).For that,the multi-park distributed energy storage cloud service transaction mechanism based on DAF-IDO energy storage action deviation quantity is proposed,which combines operation with transaction to provide distributed energy storage users with a new market approach for participating in cloud energy storage services while addressing the DAF-IDO deviation.The method for determining DAF-IDO energy storage action deviation quantity is established,enabling park operators to quantitatively calculate the supply and demand of energy storage in the park.Then,the distributed energy storage cloud service transaction mechanism based on combination auction between parks is developed,and the valley period compensation mechanism is added to the cloud energy storage pricing mechanism to enhance users’enthusiasm and autonomy in participating in cloud service while considering the economic interests of all parties.The feasibility and rationality of the mechanism is verified through case study simulation.
作者
潘一凡
李华强
王子峣
胡钰
PAN Yifan;LI Huaqiang;WANG Ziyao;HU Yu(College of Electrical Engineering,Sichuan University,Chengdu 610065,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2024年第8期27-36,共10页
Electric Power Automation Equipment
关键词
分布式储能
云储能
储能动作偏差量
市场机制
组合拍卖
distributed energy storage
cloud energy storage
energy storage action deviation quantity
market mechanism
combinatorial auctions
