|
|
Identification of key parameters of virtual synchronous generator unified model under small frequency disturbance of power grid |
ZHU Jun, QU Yubo, LIU Penghui, GUO Xiangwei, DU Shaotong |
Shool of Electrical Engineering and Automation, He’nan Polytechnic University, Jiaozuo, He’nan 454003 |
|
|
Abstract Aiming at the diversification of virtual synchronous generator (VSG) control strategies of grid-connected inverters, a unified linearization model of virtual synchronous generators is established, and the identification method of the inverter’s actual output equivalent inertia and damping coefficient is proposed to quantify its support capability to the grid. From the perspective of grid frequency perturbation and considering the influence of phase-locked loop and filter in the inverter sampling link, a unified small-signal model capable of characterizing the dynamic and static regulation performance of the virtual synchronous generator is established. According to the established model, the zero-pole method is used to analyze the influence of control parameters on the system. The grid frequency disturbance and load disturbance are used to excite the system power dynamic information, and the stochastic gradient method based on the multiple new interest theory is used to identify the equivalent inertia and damping coefficient of the inverter output. Finally, the system simulation model is built to verify the correctness and effectiveness of the analysis and identification methods.
|
Received: 28 March 2022
|
|
|
|
Cite this article: |
ZHU Jun,QU Yubo,LIU Penghui等. Identification of key parameters of virtual synchronous generator unified model under small frequency disturbance of power grid[J]. Electrical Engineering, 2022, 23(7): 26-33.
|
|
|
|
URL: |
http://dqjs.cesmedia.cn/EN/Y2022/V23/I7/26
|
[1] VISSCHER K, DE HAAN S W H. Virtual synchronous machines (VSGs) for frequency stabilisation in future grids with a significant share of decentralized gen-eration[C]//CIRED Seminar 2008: SmartGrids for Distribution, Frankfurt, 2008. [2] CHEEMA K M.A comprehensive review of virtual synchronous generator[J]. International Journal of Electrical Power & Energy Systems, 2020, 120: 106006. [3] 赵恩盛, 韩杨, 周思宇, 等. 微电网惯量与阻尼模拟技术综述及展望[J]. 中国电机工程学报, 2022, 42(4): 1413-1427. [4] 高海力, 谭建成. 大型光储联合虚拟同步发电机技术综述[J]. 电气技术, 2018, 19(1): 1-4, 9. [5] 陈文倩, 辛小南, 程志平. 基于虚拟同步发电机的光储并网发电控制技术[J]. 电工技术学报, 2018, 33(增刊2): 538-545. [6] 陶银正, 蒲道杰, 毛福斌. 虚拟同步发电机技术及其在光储微电网中的应用[J]. 电气技术, 2016, 17(11): 36-40. [7] 伍兴煌, 魏强. 使用虚拟阻抗的虚拟同步机转子角下垂控制[J]. 电气技术, 2020, 21(3): 31-36, 58. [8] 姜静雅, 王玮, 吴学智, 等. 基于自适应无功功率补偿的虚拟同步机功率解耦策略[J]. 电工技术学报, 2020, 35(13): 2747-2756. [9] 罗琴琴, 苏建徽, 林志光, 等. 基于递推最小二乘法的虚拟同步发电机参数辨识方法[J]. 电力系统自动化, 2019, 43(1): 215-221. [10] 颜湘武, 王俣珂, 贾焦心, 等. 基于非线性最小二乘曲线拟合的虚拟同步发电机惯量与阻尼系数测量方法[J]. 电工技术学报, 2019, 34(7): 1516-1526. [11] 于鸿儒, 苏建徽, 徐华电, 等. 并网逆变器虚拟惯性与阻尼的等效及辨识[J]. 中国电机工程学报, 2019, 39(20): 6034-6043, 6184. [12] 曾德银, 姚骏, 张田, 等. 虚拟同步发电机多机并联系统的频率小信号稳定性分析研究[J]. 中国电机工程学报, 2020, 40(7): 2048-2061, 2385. [13] 马铱林, 杨欢, 屈子森, 等. 改善虚拟同步发电机阻尼特性的设计方法[J]. 电网技术, 2021, 45(1): 269-275. [14] 杨赟, 梅飞, 张宸宇, 等. 虚拟同步发电机转动惯量和阻尼系数协同自适应控制策略[J]. 电力自动化设备, 2019, 39(3): 125-131. [15] 胡寿松. 自动控制原理[M]. 5版. 北京: 科学出版社, 2007. |
|
|
|