Virtual synchronous generator fuzzy control strategy based on auxiliary inertial power regulation

被引：0

作者：

Zhang Y.-N. ^{[1
,2
]}

Cai M.-L. ^{[1
]}

Xiang F.-Z. ^{[1
]}

Hu S.-L. ^{[3
]}

机构：

[1] College of Electrical and New Energy, China Three Gorges University, Yichang

[2] Hubei Engineering Research Center for Smart Energy Technology, China Three Gorges University, Yichang

[3] Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing

来源：

Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2021年 / 25卷 / 07期

关键词：

Adaptive parameter adjustment; Fuzzy control; Grid-connected inverters; Inertial power regulation; Pole-zero map of active power loop; Virtual synchronous generator;

D O I：

10.15938/j.emc.2021.07.011

中图分类号：

学科分类号：

摘要：

Aiming at the application of virtual synchronous generator technology in the control of grid-connected inverters, the active power output of the system has overshoot and oscillation, an auxiliary inertial power adjustment strategy was proposed in combination with fuzzy control.According to the pole-pero map of active power loop, it is clear that there is a contradiction in parameter adjustment, after analyzing the influence of inertial power on the angular frequency in the transient process of low-inertia power systems, an auxiliary inertial power adjustment strategy related to angular frequency deviation and angular frequency change rate was designed. The correspondence of the designed strategy and the adaptive parameter adjustment method was derived after comparison. Moreover, a fuzzy controller based on the detailed auxiliary inertial power adjustment rules is implemented to adjust the inertial power in the dynamic process.The proposed fuzzy auxiliary inertial power adjustment strategy has a better performance on reducing the overshoot of the real power and the maximum deviation of the angular frequency and shortening the settling time.Finally, a continuous power disturbance condition is set in the simulation model to verify the proposed strategy. © 2021, Harbin University of Science and Technology Publication. All right reserved.

引用

页码：98 / 106

页数：8

共 22 条

[1] LI Xiangyu, ZHAO Dongmei, Multi-time scale optmal scheduling strategy of multi-microgrid based on market mechanism, Electric Machines and Control, 24, 7, (2020)
[2] ZHANG Yunning, ZHOU Xiaomeng, Virtual synchrnous generator control technology with fractional virtual inetia for grid-connected inverters, Control and Decision, 36, 2, (2021)
[3] HU Hailin, WAN Xiaofeng, DING Xiaohua, Et al., Improved low voltage ride-through control strategy for distributed virtual synchronous generator, Electric Machines and Control, 24, 1, (2020)
[4] LI Weidong, JIN Cuicui, WEN Kerui, Et al., Active frequency response control under high-power loss, Automation of Electric Power Systems, 42, 8, (2018)
[5] WEN Yunfeng, YANG Weifeng, LIN Xiaohuang, Review and prospect of frequency stability analysis andcontrol of low-inertia power systems, Electric Power Automation Equipment, 40, 9, (2020)
[6] WANG Yi, JIANG Hanhong, XING Pengxiang, Auxiliary frequency regulation algorithm for grid-connected inverter with auto-disturbance rejection control in stand-alone microgrid, Electric Machines and Control, 23, 4, (2019)
[7] WAN Xiaofeng, ZHAN Zilu, DING Xiaohua, Et al., Improved control strategy of multi-inverter parallel based on virtual synchronous generator, Electric Machines and Control, 24, 2, (2020)
[8] ZHONG Q C, WEISS G., Synchronverters: Inverters that mimic synchronous generators, IEEE Transactions on Industrial Electronics, 58, 4, (2011)
[9] MENG Jianhui, PENG Jialin, WANG Yi, Et al., Multi-constrained flexible virtual inertial control method for photovoltaic energy storage system, Transactions of China Electrotechnical Society, 34, 14, (2019)
[10] MENG Jianhui, WANG Yi, SHI Xinchun, Et al., Control strategy and parameter analysis of distributed inverters based on VSG, Transactions of China Electrotechnical Society, 29, 12, (2014)

← 1 2 3 →