引用本文: | 孙东磊,郑志杰,马逸然,韩学山,王明强,杨思,王轶群.储能与AGC机组协同的鲁棒调度[J].电力自动化设备,2021,41(6): |
| SUN Donglei,ZHENG Zhijie,MA Yiran,HAN Xueshan,WANG Mingqiang,YANG Si,WANG Yiqun.Robust dispatching of energy storage coordinated with AGC units[J].Electric Power Automation Equipment,2021,41(6): |
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摘要: |
利用储能所具有的调节速率快的特点参与自动发电控制(AGC)机组调度,对应对风光间歇性具备明显的优势。已有计及储能的调度决策方法往往不能准确刻画储能应对风光间歇性的作用。为此,提出了储能协同AGC机组应对风光间歇性的两阶段鲁棒优化调度模型,将储能与AGC机组在控制中的动作轨迹抽象为任意2个瞬间之间的过程,利用储能所具有的快速充放电特点,弥补AGC机组响应速度的不足,提高其爬坡能力来释放机组的调节潜力,从而应对可再生能源发电的间歇性问题。所提两阶段模型具有解耦复杂、迭代次数多的特点,采用列约束生成(C&CG)算法进行求解。算例结果表明,与不考虑利用储能应对间歇性的模型相比,所提模型具有较强的鲁棒性,可有效降低对电力系统调度的配置需求,在经济和效率上有明显的优势。 |
关键词: 自动发电控制 储能 间歇性 协同调度 鲁棒优化 |
DOI:10.16081/j.epae.202102024 |
分类号:TM734 |
基金项目: |
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Robust dispatching of energy storage coordinated with AGC units |
SUN Donglei1, ZHENG Zhijie1, MA Yiran2, HAN Xueshan2, WANG Mingqiang2, YANG Si1, WANG Yiqun1
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1.Economic & Technology Research Institute of State Grid Shandong Electric Power Company, Jinan 250021, China;2.School of Electrical Engineering, Shandong University, Jinan 250061, China
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Abstract: |
Taking advantage of the fast regulation rate of energy storage to participate in the dispatching of AGC(Automatic Generation Control) units, has an obvious advantage to deal with the intermittency of wind and photovoltaic power. The existing dispatching decision methods considering energy storage are often unable to accurately depict the effect of energy storage in dealing with the intermittency. Therefore, a two-stage robust optimal dispatching model for energy storage coordinated with AGC units to cope with intermittency of wind and photovoltaic power is proposed. The action trajectory of energy storage and AGC units in control is abstracted as a process between any two moments. The characteristic of rapid charging and discharging of energy storage is utilized to make up for the lack of response speed of AGC units and improve their climbing ability to release regulating potential, so as to deal with the intermittent problem of renewable energy power generation. The two-stage model has the characteristics of complex decoupling and large iteration times, which is solved by C&CG(Column and Constraint Generation) algorithm. Example results show that, compared with the model without considering the energy storage’s effect on intermittency, the proposed model has stronger robustness, can effectively reduce the configuration demand for power system dispatching, and has obvious advantages in economy and efficiency. |
Key words: automatic generation control energy storage intermittency coordinated dispatching robust optimization |