Virtual coupling control of photovoltaic-energy storage power generation system for efficient power support

被引:3
作者
Bai, Wangwang [1 ]
Zhang, Zhongdan [1 ]
Zhang, Yaozhong [1 ]
Zhao, Weiyang [1 ]
Zhang, Baoze [2 ]
机构
[1] State Grid Gansu Elect Power Co, Inst Econ Technol, Lanzhou 730050, Peoples R China
[2] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewable, Baoding 071003, Peoples R China
关键词
Photovoltaic; Energy storage; Virtual coupling control; Power oscillation suppression; Damping; System inertia; DISTRIBUTED GENERATION; STABILITY;
D O I
10.1016/j.egyr.2024.07.052
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The key to achieving efficient and rapid frequency support and suppression of power oscillations in power grids, especially with increased penetration of new energy sources, lies in accurately assessing the inertia and damping requirements of the photovoltaic energy storage system and establishing a controllable coupling relationship between the virtual synchronous generator and the main network. In this paper, the inertia and damping requirements of the photovoltaic energy storage system are estimated using frequency safety warnings and power oscillation suppression constraints. Furthermore, the oscillation characteristics of the power system, which include photovoltaic and energy storage in the presence of periodic load disturbances, are analyzed. Based on this analysis, a coupled virtual synchronous controller for energy storage is proposed. This controller employs a forced oscillation suppression technique through natural frequency shifting, and establishes a controllable power coupling relationship between the photovoltaic energy storage system and the main network to achieve the desired frequency shift. Finally, a simulation system incorporating conventional generators and a photovoltaic energy storage system controlled with the proposed strategy is built to test the frequency support and power oscillation suppression behaviors of the grid-connected power generation system.
引用
收藏
页码:1742 / 1752
页数:11
相关论文
共 34 条
[1]   Implementing Virtual Inertia in DFIG-Based Wind Power Generation [J].
Arani, Mohammadreza Fakhari Moghaddam ;
El-Saadany, Ehab F. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (02) :1373-1384
[2]   Analysis of Current Control Interaction of Multiple Parallel Grid-Connected Inverters [J].
Cavazzana, Francesco ;
Caldognetto, Tommaso ;
Mattavelli, Paolo ;
Corradin, Michele ;
Toigo, Igino .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (04) :1740-1749
[3]   A hybrid modified grey wolf optimization-sine cosine algorithm-based power system stabilizer parameter tuning in a multimachine power system [J].
Devarapalli, Ramesh ;
Bhattacharyya, Biplab .
OPTIMAL CONTROL APPLICATIONS & METHODS, 2020, 41 (04) :1143-1159
[4]   Frequency Derivative-Based Inertia Enhancement by Grid-Connected Power Converters With a Frequency-Locked-Loop [J].
Fang, Jingyang ;
Zhang, Ruiqi ;
Li, Hongchang ;
Tang, Yi .
IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (05) :4918-4927
[5]   Integrated wind turbine controller with virtual inertia and primary frequency responses for grid dynamic frequency support [J].
Fu, Yuan ;
Wang, Yi ;
Zhang, Xiangyu .
IET RENEWABLE POWER GENERATION, 2017, 11 (08) :1129-1137
[6]  
Huazhi L., 2023, Electr. Power Autom. Equip., V43, P109
[7]  
Jian Wu, 2021, 2021 International Conference on Power System Technology (POWERCON), P1257, DOI 10.1109/POWERCON53785.2021.9697860
[8]   Optimized hierarchical power oscillations control for distributed generation under unbalanced conditions [J].
Jin, Peng ;
Li, Yang ;
Li, Guoqing ;
Chen, Zhe ;
Zhai, Xiaojuan .
APPLIED ENERGY, 2017, 194 :343-352
[9]  
Jun Y., 2018, Electrotechnics, V15, P3
[10]   Thermophysical properties of natural zeolite plates enhanced with aluminum granule for thermal management of Photovoltaic Thermal Systems (PVTs) [J].
Kandilli, Canan ;
Acikbas, Yaser ;
Uzel, Mert .
JOURNAL OF ENERGY STORAGE, 2022, 50