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华北电力大学电气与电子工程学院,北京市 102206
程瑜(1978—),女,博士,副教授,硕士生导师,主要研究方向:电力系统经济分析、需求响应、电力规划等。E-mail:judychengyu@163.com
陈熙(2000—),男,通信作者,硕士研究生,主要研究方向:电力系统经济调度、储能规划。E-mail:chenxi_0101@163.com
收稿日期:2021-07-01,
修回日期:2021-12-28,
网络出版日期:2022-03-15,
纸质出版日期:2022-07-10
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程瑜,陈熙.基于源-荷-储互动的储能对风电消纳能力影响分析[J].电力系统自动化,2022,46(13):84-93.
CHENG Yu,CHEN Xi.Analysis on Influence of Energy Storage on Accommodation Capability of Wind Power Based on Source-Load-Storage Interaction[J].Automation of Electric Power Systems,2022,46(13):84-93.
程瑜,陈熙.基于源-荷-储互动的储能对风电消纳能力影响分析[J].电力系统自动化,2022,46(13):84-93. DOI: 10.7500/AEPS20210701001.
CHENG Yu,CHEN Xi.Analysis on Influence of Energy Storage on Accommodation Capability of Wind Power Based on Source-Load-Storage Interaction[J].Automation of Electric Power Systems,2022,46(13):84-93. DOI: 10.7500/AEPS20210701001.
源-荷-储互动是高比例可再生能源电力系统应对灵活性不足的重要技术手段,定量分析储能对源-荷-储互动提升系统调节能力的影响有利于实现储能资源精益化配置。基于含储能和柔性负荷系统的经济调度优化模型,计及风电出力随机变化特性,采用对偶理论生成排除不可行点的割平面约束,计算储、荷调节区间与消纳风电波动范围三维域区间,量化分析配置储能资源对提升系统风电消纳能力的影响。针对IEEE 30节点算例系统,通过三维域区间直观刻画协同多类型灵活性资源调节能力的系统消纳的风电波动区间。算例表明,采用所提模型仿真储能与风电、柔性负荷间的空间分布以及容量配比关系对系统源-荷-储互动应对风电出力随机变化能力的影响,有利于提升储能配置规划经济性。
Source-load-storage interaction is an important technical method to deal with flexibility shortage of power systems with high proportion of renewable energy. Quantifying the influence of energy storage on source-load-storage interaction to enhance system flexibility is beneficial to optimizing the configuration of the energy storage resources. Based on the economic dispatch optimization model of the system with energy storage and flexible loads
considering the stochastic variation of wind power output
the duality theory is used to generate cut-plane constraints excluding infeasible points
the three-dimensional domain interval with storage and load regulation interval and the acceptable wind power fluctuation range is calculated
then the influence of configuring energy storage resources on improving the acceptability for wind power of the system is quantified. In the IEEE 30-bus system
three-dimensional domain interval is utilized to visually portray the wind power accommodation fluctuation range of the system cooperated with the multi-typical flexibility of the system. The numerical examples indicate that using the proposed model to simulate the impact on the ability of system to cope with random changes in wind power output by source-load-storage interaction
which is generated by the spatial distribution and capacity rationing relationship between energy storage
wind power and flexible loads
and could improve the economics of energy storage configuration planning.
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