RESEARCH ON OPTIMIZATION METHOD OF PRIMARY FREQUENCY REGULATION CONFIGURATION OF WIND-STORAGE SYSTEM CONSIDERING DISCHARGE LOSS OF ENERGY STORAGE

Yang Fan; Wang Weiqing; Wang Haiyun; Cheng Jing; Li Xiaozhu; Yu Jiaying

doi:10.19912/j.0254-0096.tynxb.2021-0386

PDF(1967 KB)

Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (10) : 416-423. DOI: 10.19912/j.0254-0096.tynxb.2021-0386

RESEARCH ON OPTIMIZATION METHOD OF PRIMARY FREQUENCY REGULATION CONFIGURATION OF WIND-STORAGE SYSTEM CONSIDERING DISCHARGE LOSS OF ENERGY STORAGE

Yang Fan, Wang Weiqing, Wang Haiyun, Cheng Jing, Li Xiaozhu, Yu Jiaying

Author information +

History +

Abstract

Based on the background of wind-storage joint participation in primary frequency regulation and the goal of maximizing the benefits of wind-storage joint system frequency regulation, this paper proposes a capacity allocation method that takes into account the seasonal difference output and the discharge loss model of energy storage at different states of charge. Secondly, according to the frequency regulation characteristics and the discharge loss model, a reasonable and reliable energy storage charging method is proposed. Finally, the particle swarm optimization algorithm is used to solve the problem, and the difference of seasonal output on land under the variable life model of energy storage in this paper and the influence of different energy storage capacity and lower limit on energy storage configuration are analyzed. The research results show that the method proposed in this paper can prolong the use value of energy storage, and effectively improve the all-weather frequency regulation ability and income of wind-storage.

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Yang Fan, Wang Weiqing, Wang Haiyun, Cheng Jing, Li Xiaozhu, Yu Jiaying. RESEARCH ON OPTIMIZATION METHOD OF PRIMARY FREQUENCY REGULATION CONFIGURATION OF WIND-STORAGE SYSTEM CONSIDERING DISCHARGE LOSS OF ENERGY STORAGE[J]. Acta Energiae Solaris Sinica. 2022, 43(10): 416-423 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0386

References

[1] 唐西胜, 苗福丰, 齐智平, 等. 风力发电的调频技术研究综述[J]. 中国电机工程学报, 2014, 34(25): 4304-4314.
TANG X S, MIAO F F, QI Z P, et al.Survey on frequency control of wind power[J]. Proceedings of the CSEE, 2014, 34(25): 4304-4314.
[2] 国家电网发布碳达峰碳中和行动方案[N]. 中国日报, 2021-03-24(004).
State Grid released the action plan for carbon peaking and carbon neutralization[N]. China daily, 2021-03-24(004).
[3] 刘颖明, 陈亮, 王晓东, 等. 混合储能参与风电集群一次调频的容量配置优化[J]. 电器与能效管理技术, 2020(10): 55-63.
LIU Y M, CHEN L, WANG X D, et al.Mixed energy storage participating in capacity optimization configuration of wind power primary frequency regulation[J]. Electrical & energy management technology, 2020(10): 55-63.
[4] KHALIL A M, IRAVANI R.Power system coherency identification under high-depth of penetration of wind power[J]. IEEE transactions on power systems, 2018, 33(5): 5401-5409.
[5] 张圣祺, 袁蓓, 徐青山, 等. 规模化储能参与下的电网二次调频优化控制策略[J]. 电力自动化设备, 2019, 39(5): 82-88, 95.
ZHANG S Q, YUAN P, XU Q S, et al.Optimal control strategy of secondary frequency regulation for power grid with large-scale energy storages[J]. Electric power automation equipment, 2019, 39(5): 82-88, 95.
[6] 苗福丰, 唐西胜, 齐智平. 储能参与风电一次调频的容量优化[J]. 电工电能新技术, 2016, 35(4): 23-29, 42.
MIAO F F, TANG X S, QI Z P.Capacity optimization of energy storage participating to wind plant primary frequency regulation[J]. Advanced technology of electrical engineering and energy, 2016, 35(4): 23-29, 42.
[7] 黄际元, 李欣然, 常敏, 等. 考虑储能电池参与一次调频技术经济模型的容量配置方法[J]. 电工技术学报, 2017, 32(21): 112-121.
HUANG J Y, LI X R, CHANG M, et al.Capacity allocation of BESS in primary frequency regulation considering its technical-economic mode[J]. Transactions of China Electrotechnical Society, 2017, 32(21): 112-121.
[8] 王浩浩, 陈嘉俊, 朱涛, 等. 计及储能寿命与调频性能的风储联合投标模型及算法[J]. 电网技术, 2021, 45(1): 208-217.
WANG H H, CHEN J J, ZHU T, et al.Joint bidding model and algorithm of wind-storage system considering energy storage life and frequency regulation performance[J]. Power system technology, 2021, 45(1): 208-217.
[9] 杨丘帆, 王琛淇, 魏俊红, 等. 提升电网惯性与一次调频性能的储能容量配置方法[J]. 电力建设, 2020, 41(10): 116-124.
YANG Q F, WANG C Q, WEI J H, et al.Capacity allocation of energy storage system for improving grid inertia and primary frequency regulation[J]. Electric power construction, 2020, 41(10): 116-124.
[10] 刘颖明, 王瑛玮, 王晓东, 等. 基于蚁狮算法的风电集群储能容量配置优化方法[J]. 太阳能学报, 2021, 42(1): 431-437.
LIU Y M, WANG Y W, WANG X D, et al.Optimization of storage capacity allocation wind farm cluster based in antlion optimization algorithm[J]. Acta energiae solaris sinica, 2021, 42(1): 431-437.
[11] 温可瑞, 李卫东, 韩松, 等. 考虑日历寿命的电池储能系统参与一次调频服务配置容量与控制参数协同优化[J]. 高电压技术, 2019, 45(7): 2185-2193.
WENG K R, LI W D, HAN S, et al.Optimization of deployment with control for battery energy storage system participating in primary frequency regulation service considering its calendar life[J]. Higv voltage enginerring, 2019, 45(7): 2185-2193.
[12] 匡生, 王蓓蓓. 考虑储能寿命和参与调频服务的风储联合运行优化策略[J]. 发电技术, 2020, 41(1): 73-78.
KUANG S, WANG P P.Optimization strategy of wind-storage joint operation considering energy storage life and participating in frequency modulation service[J]. Power generation technology, 2020, 41(1): 73-78.
[13] DUGGAL I, B VENKATESH, Short-term scheduling of thermal generators and battery storage with depth of discharge-based cost model[J]. IEEE transactions on power systems, 2015, 30(4): 2110-2118.
[14] 李斌, 周林, 余希瑞, 等. 基于改进虚拟同步发电机算法的微网逆变器二次调频方案[J]. 电网技术, 2017, 41(8): 2680-2687.
LI B, ZHOU L, YU X R, et al.Secondary frequency regulation for microgrid inverters based on improving virtual synchronous generator[J]. Power system technology, 2017, 41(8): 2680-2687.
[15] 杨正清. 基于风电主动功率控制的风电场参与系统调频问题研究[D]. 杭州: 浙江大学, 2016.
YANG Z Q.Wind farm’s participating in grid frequency regulation through active power control[D]. Hangzhou: Zhejiang University, 2016.
[16] CHAKRAPANI V, RUSLI F, FILLER M A, et al.Silicon nanowire anode: improved battery life with capacity-limited cycling[J]. Journal of power sources, 2012, 205: 433-438.
[17] OMAR N, MONEM M A, FIROUZ Y, et al.Lithium iron phosphate based battery-assessment of the aging parameters and development of cycle life model[J]. Applied energy, 2014, 113: 1575-1585.
[18] JENKINS D P, FLETCHER J, KANE D.Lifetime prediction and sizing of lead-acid batteries for microgeneration storage applications[J]. IET renewable power generation, 2008, 2(3): 191-200.
[19] 李笑竹, 王维庆, 王海云, 等. 考虑荷源双侧不确定性的跨区域灵活性鲁棒优化运行策略[J]. 高电压技术, 2020, 46(5): 1538-1549.
[20] 易林, 娄素华, 吴耀武, 等. 基于变寿命模型的改善风电可调度性的电池储能容量优化[J]. 电工技术学报, 2015, 30(15): 53-59.
YI L, LOU S H, WU Y W, et al.Optimal battery capacity based on lifetime predication for improving the schedulability of the wind power[J]. Transactions of China Electrotechnical Society, 2015, 30(15): 53-59.
21 LI X Z, WANG W Q, WANG H Y, et al.Robust optimized operation strategy for cross-region flexibility with bilateral uncertainty of load source[J]. High voltage engineering, 2020, 46(5): 1538-1549.