Microgrid Control Strategy Based on Battery Energy Storage System-Virtual Synchronous Generator (BESS-VSG)

被引:2
作者
Gao, Wei [1 ]
机构
[1] Univ Denver, Dept Elect & Comp Engn, Denver, CO 80210 USA
来源
2020 IEEE KANSAS POWER AND ENERGY CONFERENCE (KPEC) | 2020年
基金
美国国家科学基金会;
关键词
Microgrid; virtual synchronous generator; inertia; frequency control; INERTIA CONTROL; IMPROVEMENT;
D O I
10.1109/kpec47870.2020.9167653
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With more and more renewable energy resources integrated into the power grid, the system is losing inertia because power electronics-based generators do not provide natural inertia. The low inertia will cause the microgrid to be more sensitive to disturbance and thus a small load change may result in a severe deviation in frequency. Based on the basic VSG algorithm, which is to mimic the characteristic of the traditional synchronous generator, the frequency can be controlled to a stable value faster and more smoothly when there is a fluctuation in the PV power generation and/or load change. However, characteristic of the VSG depends on the system structure in consideration of multiple generations, such as Synchronous Generator (SG), PV and Battery Energy Storage System (BESS), which greatly increases the complexity of applying VSG in practical power system. Furthermore, with BESS-VSG, Maximum Power Point (MPP) operation of PV is guaranteed. In addition, an adaptive VSG method is developed for a microgrid system, and the corresponding simulation in Matlab/Simulink shows the effectiveness of the adaptive VSG method.
引用
收藏
页数:6
相关论文
共 20 条
[1]   Power System Stabilization Using Virtual Synchronous Generator With Alternating Moment of Inertia [J].
Alipoor, Jaber ;
Miura, Yushi ;
Ise, Toshifumi .
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2015, 3 (02) :451-458
[2]  
[Anonymous], 2012, SUMM REP 2012 DOE MI
[3]  
Driesen J, 2008, IEEE POW ENER SOC GE, P1323
[4]   Primary and secondary control in DC microgrids: a review [J].
Gao, Fei ;
Kang, Ren ;
Cao, Jun ;
Yang, Tao .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2019, 7 (02) :227-242
[5]   Improvement of Frequency Regulation in VSG-Based AC Microgrid Via Adaptive Virtual Inertia [J].
Hou, Xiaochao ;
Sun, Yao ;
Zhang, Xin ;
Lu, Jinghang ;
Wang, Peng ;
Guerrero, Josep M. .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (02) :1589-1602
[6]   Robust Virtual Inertia Control of a Low Inertia Microgrid Considering Frequency Measurement Effects [J].
Kerdphol, Thongchart ;
Rahman, Fathin Saifur ;
Watanabe, Masayuki ;
Mitani, Yasunori .
IEEE ACCESS, 2019, 7 :57550-57560
[7]   Optimal battery technology selection and incentive-based demand response program utilization for reliability improvement of an insular microgrid [J].
Khalili, Tohid ;
Jafari, Amirreza ;
Abapour, Mehdi ;
Mohammadi-Ivatloo, Behnam .
ENERGY, 2019, 169 (92-104) :92-104
[8]  
Lasseter RH, 2002, 2002 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, P305, DOI 10.1109/PESW.2002.985003
[9]   A Dual-Adaptivity Inertia Control Strategy for Virtual Synchronous Generator [J].
Li, Meiyi ;
Huang, Wentao ;
Tai, Nengling ;
Yang, Liuqing ;
Duan, Dongliang ;
Ma, Zhoujun .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (01) :594-604
[10]   Comparison of Dynamic Characteristics Between Virtual Synchronous Generator and Droop Control in Inverter-Based Distributed Generators [J].
Liu, Jia ;
Miura, Yushi ;
Ise, Toshifumi .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2016, 31 (05) :3600-3611