The Self-Adaption Control Strategy of Energy Storage Batteries Participating in the Primary Frequency Regulation
Li Xinran1, Cui Xiwen1, Huang Jiyuan2, Li Shujuan1, Meng Ya1
1. College of Electrical and information Engineering Hunan University Changsha 410082 China; 2. Grid Hunan Electric Power Limited Corporation Changsha Power Supply Company Changsha 410015 China
Abstract:Considering frequency characteristics in the power system, this paper proposes a self-adaption control strategy for energy storage batteries participating in the primary frequency regulation based on the dynamic combination of virtual inertial control and virtual droop control. By analyzing the influence of the two control strategies on frequency characteristics, a model is proposed, which can adjust the proportions of two control modes automatically when the frequency deviation and the rate of change of frequency change. This model can achieve the complementary advantages of the two control strategies. At the same time, it can realize the smooth switching between the two control strategies, which can effectively avoid the secondary disturbance caused by the direct switching of the two control strategies. Based on this model, a self-adaption control strategy of energy storage batteries participating in the primary frequency regulation is presented. Considering the evaluation indexes of frequency regulation, the parameters of power and capacity of energy storage batteries are obtained by the output of energy storage batteries. Finally, compared with the control strategies of the direct switching between the virtual droop and the virtual inertial, the proposed control strategy is verified by the operation of step disturbance and continuous disturbance. The results show that using the control strategies proposed in this paper can achieve better effect of frequency regulation with a smaller power demand of energy storage batteries, while reducing the reserve capacity of traditional generators.
李欣然, 崔曦文, 黄际元, 黎淑娟, 孟娅. 电池储能电源参与电网一次调频的自适应控制策略[J]. 电工技术学报, 2019, 34(18): 3897-3908.
Li Xinran, Cui Xiwen, Huang Jiyuan, Li Shujuan, Meng Ya. The Self-Adaption Control Strategy of Energy Storage Batteries Participating in the Primary Frequency Regulation. Transactions of China Electrotechnical Society, 2019, 34(18): 3897-3908.
[1] 李建林, 马会萌, 惠东. 储能技术融合分布式可再生能源的现状及发展趋势[J]. 电工技术学报, 2016, 31(14): 1-10. Li Jianlin, Ma Huimeng, Hui Dong.Present deve- lopment condition and trends of energy storage technology in the integration of distributed renewable energy[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 1-10. [2] 戴兴建, 邓占峰, 刘刚, 等. 大容量先进飞轮储能电源技术发展状况[J]. 电工技术学报, 2011, 26(7): 133-140. Dai Xingjian, Deng Zhanfeng, Liu Gang, et al.Review on advanced flywheel energy storage system with large scale[J]. Transactions of China Electro- technical Society, 2011, 26(7): 133-140. [3] Soon-Jeong Lee, Jun-Hyeok Kim, Chul-Hwan Kim.Coordinated control algorithm for distributed battery energy storage systems for mitigating voltage and frequency deviations[J]. IEEE Transactions on Smart Grid 2016, 7(3): 1713-1722 . [4] Zhang Shengqi, YateendraMisshra, Mohammad Shahidehpour. Fuzzy-logic based frequency con- troller for wind farms augmented with energy storage systems[J]. IEEE Transactions on Power Systems, 2015, 31(2): 1595-1603. [5] 苗福丰,唐西胜,齐智平. 风储联合调频下的电力系统频率特性分析[J]. 高电压技术,2015, 41(7): 2209-2216. Miao Fufeng, Tang Xicheng, Qi Zhiping, et al.Analysis of frequency characteristics of power system based on wind farm-energy storage combined frequency regulation[J]. High Voltage Engineering, 2015, 41(7): 2209-2216. [6] 诸斐琴, 杨中平, 林飞, 等. 城轨交通牵引供电系统参数与储能系统容量配置综合优化[J]. 电工技术学报, 2019, 34(3): 579-588. Zhu Feiqin, Yang Zhongping, Lin Fei, et al.Synthetic optimization of traction power parameters and energy storage systems in urban rail transit[J]. Transaction of China Electrotechnical Society, 2019, 34(3): 579-588. [7] Vaclav Knap, Sanjay K Chaudhary, Daniel-Ioan, et al.System for primary frequency regulation: a battery lifetime perspective[J]. IEEE Transactions on Power System, 2017, 53(1): 430-438. [8] Stalin Munoz Vaca, Charalampos Patsios, Phil Taylor, et al.Enhancing frequency response of wind farms using hybrid energy storage system[C]//Renewable Energy Research and Applications, 2016: 325-329. [9] Alexandre Oudalov, Daniel Chartouni, Christian Ohler.Optimizing a battery energy storage system for primary frequency control[J]. IEEE Transaction on Power Systems, 2007, 22(3): 1259-1266. [10] 黄际元, 李欣然, 曹一家, 等. 面向电网调频应用的电池储能电源仿真模型[J]. 电力系统自动化, 2015, 39(18): 20-24. Huang Jiyuan, Lin Xinran, Cao Yijia, et al.The simulation model of battery storage power supply for grid-oriented frequency regulation[J]. Automation of Electric Power System, 2015, 39(18): 20-24. [11] 汤杰, 李欣然, 黄际元, 等. 以净效益最大为目标的储能电池参与二次调频的容量配置方法[J]. 电工技术学报, 2019, 34(5): 963-972. Tang Jie, Li Xinran, Huang Jiyuan, et al.Capacity allocation of BESS in secondary frequency regulation with the goal of maximum net benefit[J]. Transa- ctions of China Electrotechnical Society, 2019, 34(5): 963-972. [12] 熊连松, 修连成, 王慧敏, 等. 储能系统抑制电网功率振荡的机理研究[J]. 电工技术学报, 2019, DOI: 10.19595/j.cnki.1000-6753.tces.181506. Xiong Liansong, Xiu Liancheng, Wang Huimin, et al.Mechanism of energy storage system to suppress grid power oscillations[J]. Transactions of China Electro- technical Society, 2019, DOI: 10.19595/j.cnki.1000- 6753.tces.181506. [13] 孙玉树, 张国伟, 唐西胜, 等. 风电功率波动平抑下的MPC双储能控制策略研究[J]. 电工技术学报, 2019, 34(3): 571-578. Sun Yushu, Zhang Guowei, Tang Xisheng, et al.Research on MPC and daul energy storage control strategies with wind power fluctuation mitigation[J]. Transactions of China Electrotechnical Society, 2019, 34(3): 571-578. [14] 赵晶晶, 徐传琳, 吕雪, 等. 微电网一次调频备用容量与储能优化配置方法[J]. 中国电机工程学报, 2017, 37(15): 4324-4332. Zhao Jingjing, Xu Chuanlin, Lü Xue, et al.Optimi- zation of micro-grid primary frequency regulation reserve capacity and energy storage system[J]. Proceedings of the CSEE, 2017, 37(15): 4324-4332. [15] Daniel-Ioan, Vaclav Knap, Maciej Swierczynski, et al.Operation of a grid-connected lithium-ion battery energy storage system for primary frequency regulation: a battery lifetime perspective[J]. IEEE Transactions on Industry Applications, 2017, 53(1): 430-438. [16] Hua Ye, Yao Liu, Wei Pei, et al.Efficient droop- based primary frequency control from variable-speed wind turbines and energy storage systems[C]//2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, 2017: 1-5. [17] 黄际元, 李欣然, 曹一家, 等. 考虑储能参与快速调频动作时机与深度的容量配置方法[J]. 电工技术学报, 2015, 30(12): 454-464. Huang Jiyuan, Li Xinran, Cao Yijia, et al.Capacity allocation of energy storage considering its action moment and output depth in rapid frequency regulation[J]. Transactions of China Electrotechnical Society, 2015, 30(12): 454-464.