SOLAR STORAGE BLACK START CONTROL STRATEGY BASED ON MULTI-STORGE DYNAMIC REGULATION

Li Cuiping; Wang Yiming; Li Junhui; Zhu Xingxu; Zhang Zheshen; Huang Jianwen

doi:10.19912/j.0254-0096.tynxb.2023-0609

PDF(1733 KB)

Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (9) : 611-622. DOI: 10.19912/j.0254-0096.tynxb.2023-0609

SOLAR STORAGE BLACK START CONTROL STRATEGY BASED ON MULTI-STORGE DYNAMIC REGULATION

Li Cuiping¹, Wang Yiming², Li Junhui¹, Zhu Xingxu¹, Zhang Zheshen³, Huang Jianwen³

Author information +

History +

Abstract

Black start of power system means that after the whole system is shut down due to fault, without relying on the help of other networks, the whole power system is finally restored through the starting of the units with self-starting capability in the system. With the rapid development of new energy sources, it also brings challenges to the stable operation of the power system, and it is more important to develop a black start plan in advance. With the continuous development of photovoltaic and energy storage systems, and the fact that energy storage systems can compensate for the randomness and volatility of photovoltaic power output, the combined optical storage system has become a new choice to undertake the task of black start. This paper firstly establishes a multi-storage PV joint system, classifies the energy storage system according to the real-time state of energy storage, designs three different priority levels of energy storage to undertake different tasks; sets the corresponding control scheme for different priority levels of energy storage, proposes a light storage black start control strategy based on multi-storage dynamic regulation, monitors the operation state of energy storage in real time, prevents the multi-storage system from black start caused by overrunning limits and other reasons Finally, the effectiveness of the multi-storage dynamic regulation black-start control strategy is verified by simulating three different working conditions through Matlab simulation software.

Key words

energy storage / energy management / reliability / solar storage black start / dynamic regulation

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Li Cuiping, Wang Yiming, Li Junhui, Zhu Xingxu, Zhang Zheshen, Huang Jianwen. SOLAR STORAGE BLACK START CONTROL STRATEGY BASED ON MULTI-STORGE DYNAMIC REGULATION[J]. Acta Energiae Solaris Sinica. 2024, 45(9): 611-622 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0609

References

[1] 周校聿, 刘娆, 鲍福增, 等. 百兆瓦级储能参与电网双重辅助服务调度的联合优化模型[J]. 电力系统自动化, 2021, 45(19): 60-69.
ZHOU X Y, LIU R, BAO F Z, et al.Joint optimization model for hundred-megawatt-level energy storage participating in dual ancillary services dispatch of power grid[J]. Automation of electric power systems, 2021, 45(19): 60-69.
[2] 陈佳凝, 魏霞, 王维庆. 基于多工况的光伏阵列的建模及输出特性分析[J]. 电源技术, 2022, 46(9): 1038-1042.
CHEN J N, WEI X, WANG W Q.Modeling and output characteristic analysis of photovoltaic array based on multiple working conditions[J]. Chinese journal of power sources, 2022, 46(9): 1038-1042.
[3] ACEVEDO-ARENAS C Y, CORRECHER A, SÁNCHEZ-DÍAZ C, et al. MPC for optimal dispatch of an AC-linked hybrid PV/wind/biomass/H₂ system incorporating demand response[J]. Energy conversion and management, 2019, 186: 241-257.
[4] PATSAKIS G, RAJAN D, ARAVENA I, et al.Optimal black start allocation for power system restoration[J]. IEEE transactions on power systems, 2018, 33(6): 6766-6776.
[5] 王伟胜, 林伟芳, 何国庆, 等. 美国得州2021年大停电事故对我国新能源发展的启示[J]. 中国电机工程学报, 2021, 41(12): 4033-4043.
WANG W S, LIN W F, HE G Q, et al.Enlightenment of 2021 texas blackout to the renewable energy development in China[J]. Proceedings of the CSEE, 2021, 41(12): 4033-4043.
[6] 林伟芳, 易俊, 郭强, 等. 阿根廷“6.16” 大停电事故分析及对中国电网的启示[J]. 中国电机工程学报, 2020, 40(9): 2835-2842.
LIN W F, YI J, GUO Q, et al.Analysis on blackout in Argentine power grid on June 16, 2019 and its enlightenment to power grid in China[J]. Proceedings of the CSEE, 2020, 40(9): 2835-2842.
[7] 孙华东, 许涛, 郭强, 等. 英国“8·9” 大停电事故分析及对中国电网的启示[J]. 中国电机工程学报, 2019, 39(21): 6183-6192.
SUN H D, XU T, GUO Q, et al.Analysis on blackout in great Britain power grid on August 9th, 2019 and its enlightenment to power grid in China[J]. Proceedings of the CSEE, 2019, 39(21): 6183-6192.
[8] 石荣亮, 张兴, 刘芳, 等. 基于虚拟同步发电机的孤立微网黑启动方案研究[J]. 太阳能学报, 2017, 38(10): 2857-2864.
SHI R L, ZHANG X, LIU F, et al.Research of black-start schemes of isolated microgrid based on virtual synchronous generator[J]. Acta energiae solaris sinica, 2017, 38(10): 2857-2864.
[9] CAPIK M, OSMAN YıLMAZ A, CAVUSOGLU İ. Hydropower for sustainable energy development in Turkey: the small hydropower case of the Eastern Black Sea Region[J]. Renewable and sustainable energy reviews, 2012, 16(8): 6160-6172.
[10] ADIBI M M.Power system restoration: methodologies & implementation strategies[M]. New York: Wiley IEEE Press, 2000.
[11] 朱凌燕, 潘再平, 许国东. 采用改进虚拟同步控制的双馈型风电场黑启动方案[J]. 太阳能学报, 2021, 42(4): 162-167.
ZHU L Y, PAN Z P, XU G D.Black start scheme of dfig-based wind farm adopting improved virtual synchronous control[J]. Acta energiae solaris sinica, 2021, 42(4): 162-167.
[12] 杨苹, 许志荣, 郑群儒, 等. 复杂拓扑结构光储型微电网黑启动策略[J]. 电力系统保护与控制, 2016, 44(15): 142-149.
YANG P, XU Z R, ZHENG Q R, et al.Black start strategy of PV-ESS microgrid with complicated topology structure[J]. Power system protection and control, 2016, 44(15): 142-149.
[13] ZHAO Y X, LIN Z Z, DING Y, et al.A model predictive control based generator start-up optimization strategy for restoration with microgrids as black-start resources[J]. IEEE transactions on power systems, 2018, 33(6): 7189-7203.
[14] SINGH S, SINGH M, KAUSHIK S C.Feasibility study of an islanded microgrid in rural area consisting of PV, wind, biomass and battery energy storage system[J]. Energy conversion and management, 2016, 128: 178-190.
[15] 郭苏, 何意, 阿依努尔·库尔班, 等. 基于多储能技术经济性比较的可再生能源发电系统多目标容量优化[J]. 太阳能学报, 2022, 43(10): 424-431.
GUO S, HE Y, AYNUR KURBAN, et al.Multi-objective capacity optimization of renewable energy power system considering techno-economic comparisons of various energy storage technologies[J]. Acta energiae solaris sinica, 2022, 43(10): 424-431.
[16] 丁逸行, 徐青山, 吕亚娟, 等. 考虑需量管理的用户侧储能优化配置[J]. 电网技术, 2019, 43(4): 1179-1186.
DING Y X, XU Q S, LYU Y J, et al.Optimal configuration of user-side energy storage considering power demand management[J]. Power system technology, 2019, 43(4): 1179-1186.
[17] 黄彦博, 冯忠楠, 随权, 等. 考虑实时SOC与动态循环效率的电池损耗评估及储能定容策略[J]. 太阳能学报, 2022, 43(11): 413-423.
HUANG Y B, FENG Z N, SUI Q, et al.Battery loss assessment and energy storage capacity configuration strategy considering real-time SOC and dynamic cycling efficiency[J]. Acta energiae solaris sinica, 2022, 43(11): 413-423.
[18] 冯江霞, 梁军, 张峰, 等. 考虑调度计划和运行经济性的风电场储能容量优化计算[J]. 电力系统自动化, 2013, 37(1): 90-95.
FENG J X, LIANG J, ZHANG F, et al.An optimization calculation method of wind farm energy storage capacity[J]. Automation of electric power systems, 2013, 37(1): 90-95.
[19] 赵晶晶, 朱天天, 陈凌汉, 等. 风光储电站对临近火电厂黑启动的协调控制策略[J]. 电力系统及其自动化学报, 2021, 33(11): 105-111.
ZHAO J J, ZHU T T, CHEN L H, et al.Coordinated control strategy for black start of adjacent thermal power plants using wind-PV-storage power station[J]. Proceedings of the CSU-EPSA, 2021, 33(11): 105-111.
[20] 陈长青, 李欣然, 张冰玉, 等. 考虑负荷动态特性的多阶段光储协调规划研究[J]. 太阳能学报, 2022, 43(6): 8-16.
CHEN C Q, LI X R, ZHANG B Y, et al.Research on multi-stage optical storage coordination planning considering load dynamic characteristics[J]. Acta energiae solaris sinica, 2022, 43(6): 8-16.
[21] 崔红芬, 王德顺, 杨波, 等. 支撑电网黑启动的风光储新能源电站协调控制策略[J]. 电力建设, 2020, 41(9): 50-57.
CUI H F, WANG D S, YANG B, et al.Coordinated control strategy of wind-solar-storage power station supporting black start of power grid[J]. Electric power construction, 2020, 41(9): 50-57.
[22] 李翠萍, 张世宁, 李军徽, 等. 基于多储能系统的风电黑启动方案设计[J]. 全球能源互联网, 2020, 3(6): 643-652.
LI C P, ZHANG S N, LI J H, et al.Black-start scheme for wind-power generation based on multiple energy storage system[J]. Journal of global energy interconnection, 2020, 3(6): 643-652.
[23] 张世宁. 多储能联合风电参与黑启动的容量配置和控制[D]. 吉林: 东北电力大学, 2020.
ZHANG S N.Capacity configuration and control of multiple energy storage stations combined wind power participating in the black-start[D]. Jilin: Northeast Dianli University, 2020.
[24] MAZZEO D, OLIVETI G, BAGLIVO C, et al.Energy reliability-constrained method for the multi-objective optimization of a photovoltaic-wind hybrid system with battery storage[J]. Energy, 2018, 156: 688-708.
[25] 李军徽, 侯涛, 严干贵, 等. 计及调频成本和荷电状态恢复的多储能系统调频功率双层优化[J]. 中国电机工程学报, 2021, 41(23): 8020-8033.
LI J H, HOU T, YAN G G, et al.Two-layer optimization of frequency modulation power in multi-battery energy storage system considering frequency modulation cost and recovery of state of charge[J]. Proceedings of the CSEE, 2021, 41(23): 8020-8033.
[26] 米阳, 纪宏澎, 何星瑭, 等. 多储能独立直流微电网自适应分级协调控制[J]. 中国电机工程学报, 2018, 38(7): 1980-1989, 2213.
MI Y, JI H P, HE X T, et al.Adaptive hierarchical coordinated control of multi-energy storage in isolated DC microgrid[J]. Proceedings of the CSEE, 2018, 38(7): 1980-1989, 2213.
[27] 周建萍, 张纬舟, 王涛, 等. 基于功率交互及动态分配的多储能单元控制策略[J]. 高电压技术, 2018, 44(4): 1149-1156.
ZHOU J P, ZHANG W Z, WANG T, et al.Control strategy of multiple energy storage sources based on power-interaction and dynamic allocation[J]. High voltage engineering, 2018, 44(4): 1149-1156.