Virtual moment inertia control based on hybrid static energy storage

被引：0
|
作者：
Zhang X. [1 ]
Li L. [1 ]
Bian Z. [2 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding
[2] Cangzhou Power Supply Company, State Grid Hebei Electric Power Co., Ltd., Cangzhou
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2019年 / 39卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Battery; Frequency response; Hybrid energy storage system; Photovoltaic power generation; Super-capacitor; Virtual inertia;
D O I：
10.16081/j.epae.201911003
中图分类号：
学科分类号：
摘要：
Firstly, the energy conversion relationship between battery energy storage, capacitor energy storage of super-capacitors and mechanical kinetic energy of synchronous generator is established in the process of frequency dynamic fluctuation, and the definition of virtual inertia of HESS(Hybrid Energy Storage System)derived from two kinds of static energy is defined. Secondly, based on the charging and discharging characteristics of batteries and super-capacitors, a HESS cooperative control strategy is proposed by using power co-regulation between two energy storage units. By monitoring the frequency fluctuation of the system, the control strategy transfers energy of battery and super-capacitors to imitate inertial response of synchronous generator in consideration of characteristic of power control and SOC(State Of Charging) by monitoring frequency fluctuation. Finally, a photovoltaic micro-grid containing HESS is set up to validate the effectiveness of the control strategy. The simulative results show that the strategy can make full use of the static energy stored in HESS to rapidly virtualize the inertial response and significantly improve the frequency stability of system. © 2019, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码：50 / 56
页数：6
相关论文
共 13 条
  • [1] Wei Z., Yu B., China's photovoltaic industry today and recommended countermeasures to problems faced, Sino-Global Energy, 18, 6, pp. 15-25, (2013)
  • [2] Ding M., Wang W., Wang X., Et al., A review on the effect of large-scale PV generation on power systems, Proceedings of the CSEE, 34, 1, pp. 1-14, (2014)
  • [3] Zhang X., Fu Y., Wang Y., Et al., Integrated PSS controller of variable speed wind turbines with virtual inertia and damping control, Transactions of China Electrotechnical Society, 30, 1, pp. 159-169, (2015)
  • [4] Fu Y., Wang Y., Zhang X., Et al., Virtual inertia control of offshore wind farms with VSC-HVDC for grid-connection, Electrical Measurement & Instrumentation, 51, 1, pp. 43-48, (2014)
  • [5] Zhang X., Chen Y., Fu Y., Et al., Oscillation cha-racteristic of power generation system with controlled inertia wind farm and integrated control, Proceedings of the CSEE, 36, 17, pp. 4564-4572, (2016)
  • [6] Lu Z., Sheng W., Liu H., Et al., Application and challenge of virtual synchronous machine technology in power system, Proceedings of the CSEE, 37, 2, pp. 349-360, (2017)
  • [7] Zhang X., Yang L., Zhu X., Et al., Virtual rotational inertia control of PV generation system withenergy sto-rage devices, Electric Power Automation Equipment, 37, 9, pp. 1-6, (2017)
  • [8] Im W.S., Wang C., Liu W.X., Et al., Distributed virtual inertia based control of multiple photovoltaic systems in autonomous microgrid, IEEE/CAA Journal of Automatica Sinica, 4, 3, pp. 512-519, (2017)
  • [9] Cheng C., Yang H., Zeng Z., Et al., Rotor inertia adaptive control method of VSG, Automation of Electric Power Systems, 39, 19, pp. 82-89, (2015)
  • [10] Zhong Q., Virtual synchronous machines and autono-mous power systems, Proceedings of the CSEE, 37, 2, pp. 336-349, (2017)
12