| 引用本文: | 余洋,陈东阳,吴玉威,王卜潇,米增强,蔡新雷,董锴.风电跟踪调度计划时降低寿命损耗的电池储能分组控制策略[J].电力自动化设备,2023,43(3): |
| YU Yang,CHEN Dongyang,WU Yuwei,WANG Boxiao,MI Zengqiang,CAI Xinlei,DONG Kai.Grouping control strategy of battery energy storage for reducing life loss under wind power tracking scheduling plan[J].Electric Power Automation Equipment,2023,43(3): |
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| 风电跟踪调度计划时降低寿命损耗的电池储能分组控制策略 |
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余洋1,2, 陈东阳1,2, 吴玉威1,2, 王卜潇1,2, 米增强1,2, 蔡新雷3, 董锴3
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1.华北电力大学 新能源电力系统国家重点实验室，河北 保定 071003;2.华北电力大学 河北省分布式储能与微网重点实验室，河北 保定 071003;3.广东电网有限责任公司电力调度控制中心，广东 广州 510600
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| 摘要: |
| 为了解决风电跟踪调度计划过程中电池寿命损耗较高的问题，提出了降低寿命损耗的电池储能分组控制策略。利用设计的基于改进天牛须搜索算法的旋转门算法得到最优压缩偏移量，进而提取风电趋势；将风电场配备的电池储能分为电池组1和电池组2，并将电池组2进一步细分为3个电池簇，在避免充放电能量对冲的条件下根据风电趋势计算两电池组的功率调节指令，并基于此确定两电池组的容量，进而以电池单元的动作次数最少为目标获取3个电池簇的容量；在初始时刻及荷电状态越限时刻对电池单元进行动态分组，并根据电池单元的依次启动方法确定电池组1中电池单元的功率调节指令，基于设计的双层功率分配方法确定电池组2中电池单元的功率调节指令；电池单元在满足运行约束的条件下响应各自的功率调节指令。将所提控制策略与其他控制策略进行仿真对比，结果表明所提控制策略能以更大的程度降低寿命损耗、延长储能的使用寿命。 |
| 关键词: 电池储能系统 寿命损耗 功率分配 风电跟踪调度计划 控制策略 |
| DOI：10.16081/j.epae.202209016 |
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| 基金项目:国家自然科学基金资助项目(52077078)；国家重点研发计划项目(2018YFE0122200) |
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| Grouping control strategy of battery energy storage for reducing life loss under wind power tracking scheduling plan |
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YU Yang1,2, CHEN Dongyang1,2, WU Yuwei1,2, WANG Boxiao1,2, MI Zengqiang1,2, CAI Xinlei3, DONG Kai3
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1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China;2.Hebei Key Laboratory of Distributed Energy Storage and Micro Grid, North China Electric Power University, Baoding 071003, China;3.Electric Power Dispatching Control Center of Guangdong Power Grid Co.,Ltd.,Guangzhou 510600, China
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| Abstract: |
| In order to solve the problem of high battery life loss during wind power tracking scheduling, a grouping control strategy of battery energy storage for reducing life loss is proposed. An improved beetle antennae search-based swing door trend algorithm is designed to obtain the optimal compression offset, and then the wind power trend is extracted. The battery energy storage equipped by the wind farm is divided into the battery group 1 and the battery group 2. The battery group 2 is further subdivided into three battery clusters. Under the condition of avoiding the charging and discharging energy hedging, the power regulation signals of two battery groups are calculated according to the wind power trend, based on which the capacities of the two battery groups are determined and the capacities of three battery clusters are obtained with the goal of minimizing the action times of battery units. The battery units are dynamically grouped at the initial moment and the moment when the state of charge exceeds the limit, the power regulation signals of battery units in the battery group 1 are determined according to the sequential starting method of battery units, and the power regulation signals of battery units in the battery group 2 are determined based on the designed double-layer power allocation method. Then, the battery units respond to their respective power regulation signals with meeting operation constraints. The proposed control strategy is compared with other control strategies, and the simulative results show that the proposed control strategy can reduce the life loss and prolong the remaining useful life of energy storage to a greater extent. |
| Key words: battery energy storage system life loss power allocation wind power tracking scheduling plan control strategy |
