计及储能电站安全性的功率分配策略研究

doi:10.19595/j.cnki.1000-6753.tces.221679

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Abstract The safety and stability of energy storage power stations during operation have received strong attention from the industry. Energy storage power stations of high power level cannot operate without many battery compartments. Reasonable power distribution is important to ensure the operation safety and improve efficiency of energy storage power stations. Therefore, the paper studies the optimal power distribution of typical lithium battery energy storage power stations. Aiming at the energy management problem of energy storage power station safety, a power distribution State of health (SOH)-State of charge (SOC) strategy was proposed. Three power distribution modes are designed under the first-level SOH power distribution strategy, namely, equal power distribution, independent power distribution and adaptive power distribution. Then, the SOC is considered to design the distribution strategy to prevent overcharge and overdischarge. Finally, the two-stage power distribution strategy is designed to improve the optimal output power distribution of the energy storage power station under the priority of guaranteeing the operation safety of the power station. The effectiveness is verified from three aspects of battery compartment level, inverter level and system level respectively, which provides important reference value for the safe operation of electrochemical energy storage power station system.

Key words： Power distribution energy storage power station safe operation energy management adaptive optimization

Received: 01 September 2022

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TM732

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	Li Jianlin
	Li Yaxin
	Liu Haitao
	Ma Suliang

Cite this article:

Li Jianlin,Li Yaxin,Liu Haitao等. Research on Power Distribution Strategy Considering the Safety of Energy Storage Power Station[J]. Transactions of China Electrotechnical Society, 2022, 37(23): 5976-5986.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.221679 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I23/5976

[1] 李建林, 李雅欣, 黄碧斌, 等. 退役动力电池一致性评估及均衡策略研究[J]. 电力系统保护与控制, 2021, 49(12): 1-7.
Li Jianlin, Li Yaxin, Huang Bibin, et al.Research on consistency evaluation and control strategy of a retired power battery[J]. Power System Protection and Control, 2021, 49(12): 1-7.
[2] 袁铁江, 张昱, 栗磊, 等. 计及功率密度约束含氢储能的预装式多元储能电站容量优化配置研究[J]. 电工技术学报, 2021, 36(3): 496-506.
Yuan Tiejiang, Zhang Yu, Li Lei, et al.Capacity optimization configuration of pre-installed multi-energy storage power station considering power density constrained hydrogen storage[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 496-506.
[3] 严干贵, 刘莹, 段双明, 等. 电池储能单元群参与电力系统二次调频的功率分配策略[J]. 电力系统自动化, 2020, 44(14): 26-34.
Yan Gangui, Liu Ying, Duan Shuangming, et al.Power distribution strategy for battery energy storage unit group participating in secondary frequency regulation of power system[J]. Automation of Electric Power Systems, 2020, 44(14): 26-34.
[4] 刘皓明, 陆丹, 杨波, 等. 可平抑高渗透分布式光伏发电功率波动的储能电站调度策略[J]. 高电压技术, 2015, 41(10): 3213-3223.
Liu Haoming, Lu Dan, Yang Bo, et al.Dispatch strategy of energy storage station to smooth power fluctuations of high penetration photovoltaic generation[J]. High Voltage Engineering, 2015, 41(10): 3213-3223.
[5] 王德顺, 薛金花, 叶季蕾, 等. 基于粒子群算法的储能电站经济优化调度策略[J]. 可再生能源, 2019, 37(5): 714-719.
Wang Deshun, Xue Jinhua, Ye Jilei, et al.Economic optimization scheduling strategy for battery energy storage system based on particle swarm optimization[J]. Renewable Energy Resources, 2019, 37(5): 714-719.
[6] 孙玮泽. 基于大规模储能电站的控制研究[D]. 吉林: 东北电力大学, 2019.
[7] 王志强. 电池储能电站能量管理及其参与电网调频特性分析[D]. 徐州: 中国矿业大学, 2021.
[8] 王坤, 李国豪, 甘智勇, 等. 电网侧大容量储能电站的应用与节能分析[J]. 资源节约与环保, 2019(12): 6.
[9] 蔡新雷, 董锴, 孟子杰, 等. 基于优化动态分组技术的电池储能电站跟踪AGC指令控制策略[J]. 储能科学与技术, 2022, 11(5): 1475-1481.
Cai Xinlei, Dong Kai, Meng Zijie, et al.AGC command tracking control strategy for battery energy storage power station based on optimized dynamic grouping technology[J]. Energy Storage Science and Technology, 2022, 11(5): 1475-1481.
[10] 陈晓雯, 李奇, 蒲雨辰, 等. 基于等效氢耗特征的孤岛电-氢混合储能多微电网功率自适应分配控制方法研究[J/OL].电网技术: 1-13[2022-05-25]. DOI: 10.13335/j.1000-3673.pst.2021.2396.
Chen Xiaowen, Li Qi, Pu Yuchen,Yang Yang, wt al. Power adaptive distribution control of isolated multi-microgrids containing electric-hydrogen hybrid energy storage based on equivalent hydrogen consumption characteristics[J/OL].Power System Technology: 1-13[2022-05-25]. DOI: 10.13335/j.1000-3673. pst.2021.2396.
[11] 李瑜, 张占强, 孟克其劳, 等. 基于分层控制的孤岛微电网储能优化控制策略[J]. 储能科学与技术, 2022, 11(1): 176-184.
Li Yu, Zhang Zhanqiang, Meng Keqilao, et al.Optimal control strategy for energy storage in island microgrid based on hierarchical control[J]. Energy Storage Science and Technology, 2022, 11(1): 176-184.
[12] 陈根, 蔡旭. 提升并联型风电变流器运行效率的自适应功率优化控制[J]. 中国电机工程学报, 2017, 37(22): 6492-6499, 6761.
Chen Gen, Cai Xu.Adaptive power optimal control for operation efficiency improvement of parallel wind power converters[J]. Proceedings of the CSEE, 2017, 37(22): 6492-6499, 6761.
[13] 王育飞, 叶俊斌, 薛花, 等. 基于改进雨流计数法的梯次利用电池储能系统优化控制[J]. 电力系统自动化, 2022, 46(8): 39-49.
Wang Yufei, Ye Junbin, Xue Hua, et al.Optimal control for energy storage system with echelon utilization batteries based on improved rain-flow counting method[J]. Automation of Electric Power Systems, 2022, 46(8): 39-49.
[14] 范添圆, 王海云, 王维庆, 等. 计及主/被动需求响应下基于合作博弈的微网-配电网协调优化调度[J]. 电网技术, 2022, 46(2): 453-462.
Fan Tianyuan, Wang Haiyun, Wang Weiqing, et al.Coordinated optimization scheduling of microgrid and distribution network based on cooperative game considering active/passive demand response[J]. Power System Technology, 2022, 46(2): 453-462.
[15] 贾伟青, 任永峰, 薛宇, 等. 基于小波包-模糊控制的混合储能平抑大型风电场功率波动[J]. 太阳能学报, 2021, 42(9): 357-363.
Jia Weiqing, Ren Yongfeng, Xue Yu, et al.Wavelet packet-fuzzy control of hybrid energy storage for power fluctuation smoothing of large wind farm[J]. Acta Energiae Solaris Sinica, 2021, 42(9): 357-363.
[16] 韩晓娟, 陈跃燕, 张浩, 等. 基于小波包分解的混合储能技术在平抑风电场功率波动中的应用[J]. 中国电机工程学报, 2013, 33(19): 8-13, 24.
Han Xiaojuan, Chen Yueyan, Zhang Hao, et al.Application of hybrid energy storage technology based on wavelet packet decomposition in smoothing the fluctuations of wind power[J]. Proceedings of the CSEE, 2013, 33(19): 8-13, 24.
[17] 李培强, 李文英, 唐捷, 等. 基于SOC优化的混合储能平抑风电波动方法[J]. 电力系统及其自动化学报, 2017, 29(3): 20-27.
Li Peiqiang, Li Wenying, Tang Jie, et al.Method of hybrid energy storage to smooth the fluctuations for wind power based on state of charge optimization[J]. Proceedings of the CSU-EPSA, 2017, 29(3): 20-27.
[18] Hoang K D, Lee H H.Accurate power sharing with balanced battery state of charge in distributed DC microgrid[J]. IEEE Transactions on Industrial Electronics, 2019, 66(3): 1883-1893.
[19] 刘璐, 牛萌, 郑伟杰, 等. 考虑内部参数不一致性的储能系统用锂电池组建模[J]. 电力系统自动化, 2021, 45(19): 15-23.
Liu Lu, Niu Meng, Zheng Weijie, et al.Modeling of lithium-ion battery packs for energy storage system considering inconsistency of internal battery parameters[J]. Automation of Electric Power Systems, 2021, 45(19): 15-23.
[20] 申景潮, 胡健, 胡敬梁, 等. 直流微电网储能装置双向DC-DC变换器参数自适应反步控制[J]. 储能科学与技术, 2022, 11(5): 1512-1522.
Shen Jingchao, Hu Jian, Hu Jingliang, et al.Parameter adaptive backstepping control of bidirectional DCDC converter for DC microgrid energy storage device[J]. Energy Storage Science and Technology, 2022, 11(5): 1512-1522.
[21] 李建林, 牛萌, 王上行, 等. 江苏电网侧百兆瓦级电池储能电站运行与控制分析[J]. 电力系统自动化, 2020, 44(2): 28-35.
Li Jianlin, Niu Meng, Wang Shangxing, et al.Operation and control analysis of 100 MW class battery energy storage station on grid side in Jiangsu power grid of China[J]. Automation of Electric Power Systems, 2020, 44(2): 28-35.
[22] 颜湘武, 邓浩然, 郭琪, 等. 基于自适应无迹卡尔曼滤波的动力电池健康状态检测及梯次利用研究[J]. 电工技术学报, 2019, 34(18): 3937-3948.
Yan Xiangwu, Deng Haoran, Guo Qi, et al.Study on the state of health detection of power batteries based on adaptive unscented Kalman filters and the battery echelon utilization[J]. Transactions of China Electrotechnical Society, 2019, 34(18): 3937-3948.
[23] 刘莹. 电化学储能电站参与电力系统二次调频功率分配策略[D]. 吉林: 东北电力大学, 2021.
[24] 薛宇石. 电池储能电站能量管理及协调控制策略研究[D]. 北京: 华北电力大学(北京), 2018.
[25] Khalaji A K, Haghjoo M.Adaptive passivity-based control of an autonomous underwater vehicle[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2022, 236(20) : 10563-10572.
[26] 谢敏, 韦薇, 李建钊, 等. 储能电站参与能量-调频市场联合调度模式研究[J]. 电力建设, 2019, 40(2): 20-28.
Xie Min, Wei Wei, Li Jianzhao, et al.Research on combined dispatching mode of energy storage in energy market and regulation market[J]. Electric Power Construction, 2019, 40(2): 20-28.
[27] 叶季蕾, 薛金花, 吴福保, 等. 一种电池储能电站的经济优化调度策略[J]. 电源技术, 2016, 40(2): 365-369.
Ye Jilei, Xue Jinhua, Wu Fubao, et al.Economic optimization dispatching strategic of battery energy storage station[J]. Chinese Journal of Power Sources, 2016, 40(2): 365-369.
[28] 张宸偲. 分布式电源接入的配电网储能系统优化配置技术研究[D]. 武汉: 湖北工业大学, 2019.
[29] 李建林, 郭斌琪, 牛萌, 等. 风光储系统储能容量优化配置策略[J]. 电工技术学报, 2018, 33(6): 1189-1196.
Li Jianlin, Guo Binqi, Niu Meng, et al.Optimal configuration strategy of energy storage capacity in wind/PV/storage hybrid system[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1189-1196.
[30] 甘伟, 郭剑波, 艾小猛, 等. 应用于风电场出力平滑的多尺度多指标储能配置[J]. 电力系统自动化, 2019, 43(9): 92-98.
Gan Wei, Guo Jianbo, Ai Xiaomeng, et al.Multi-scale multi-index sizing of energy storage applied to fluctuation mitigation of wind farm[J]. Automation of Electric Power Systems, 2019, 43(9): 92-98.