摘要
风电场合作并网可降低风电不确定性影响,该文针对风电场群联合共享储能协同并网机制展开研究。首先,结合改进Shapley值法建立了风电场群不确定性成本分摊机制;其次,基于纳什谈判模型和合作成本分摊机制建立了多风电场联合共享储能日前调度优化模型,结合日前调度结果与偏差成本,进一步考虑风电预测误差影响建立了实时调度滚动优化模型;最后,通过算例分析对风电场群联合共享储能两阶段协同并网优化的合理性进行验证。结果表明,协同并网能有效降低风电场集群运营成本,且风电场群各成员在该协同并网优化机制下所分得的两阶段调度结果客观公正,依此调度结果所结算的合作收益受到充分保障,从而有效提升了各成员运营收益。
The cooperation of wind farms may reduce risks from the wind power uncertainty.This paper proposes a two-stage operation optimization for a grid-connected wind farm cluster with shared energy storage.Firstly,the uncertain cost sharing formula of wind farms based on the improved Shapley value is invented.Secondly,a day-ahead scheduling model for the wind farm cluster and the shared energy storage is established based on the Nash negotiation model and the cooperative cost sharing mechanism.Then combined with the day-ahead scheduling results and the deviation cost,a real-time scheduling rolling optimization model is built considering the influence of the wind power prediction errors.Finally,the rationality of this two-stage operation model is verified by example analysis.The results show that the cooperative relationship between the wind farms effectively reduces the operating cost of the wind farm cluster.The collaboration model makes the two-stage scheduling results for each wind farm objective and fair,which can guarantee the fairness of the cooperation benefits and improve the operating income of each member.
作者
江岳文
郑晨昕
JIANG Yuewen;ZHENG Chenxin(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,Fujian Province,China;Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment,Fuzhou 350108,Fujian Province,China;Research Center of Integrated Energy Planning and Optimal Operation,Fuzhou University,Fuzhou 350108,Fujian Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2022年第9期3426-3436,共11页
Power System Technology
基金
国家自然科学基金项目(51707040)。
