Model predictive dual-loop cooperative optimal control strategy based on an optical storage virtual synchronous generator

被引：0

作者：

Qu, Keqing ^{[1
]}

Guo, Donghao ^{[1
]}

Pan, Chao ^{[1
]}

Zeng, Zhiwei ^{[1
]}

Zhao, Jinbin ^{[2
]}

机构：

[1] College of Electrical Engineering, Shanghai University of Electric Power, Shanghai

[2] Offshore Wind Power Research Institute, Shanghai University of Electric Power, Shanghai

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2024年 / 52卷 / 18期

基金：

中国国家自然科学基金;

关键词：

a finite set three-vector; model predictive control; photovoltaic storage integrated machine; virtual synchronous generator;

D O I：

10.19783/j.cnki.pspc.231285

中图分类号：

学科分类号：

摘要：

The increasing penetration of new energy sources and power electronic equipment has caused problems such as insufficient inertia and decreased stability of new power systems. In this paper, a model prediction double-loop coptimisation (MPDC) control strategy based on a virtual synchronous generator (VSG) is proposed as an example for the grid-connected photovoltaic storage integrated machine. In the power outer loop, model predictive control is used to correct the VSG reference power at different stages according to the synchronous generator rotor frequency characteristics. For the inner loop, a finite set three vector model predictive current control (FCS-TV-MPCC) is selected to achieve accurate tracking of the outer loop output reference voltage. Simulation and experiment show that the proposed control strategy can improve the frequency tracking accuracy, and compared with the traditional control method, it can reduce the system frequency overshoot in the case of sudden change of load. At the same time, it reduces the frequency change rate, so as to improve the active frequency modulation characteristics. © 2024 Power System Protection and Control Press. All rights reserved.

引用

页码：149 / 157

页数：8

共 27 条

[1]

MA Qipeng, HAO Zhenghang, ZHANG Yu, Et al., Network partition and voltage coordination control of distributed PV power distribution network with high permeability, Power System and Clean Energy, 39, 3, pp. 93-102, (2023)

[2]

LIU Yunxin, YAO Liangzhong, LIAO Siyang, Et al., Study on the impact of photovoltaic penetration on power system static voltage stability, Proceedings of the CSEE, 42, 15, pp. 5484-5497, (2022)

[3]

LUO Jianbo, CHEN Yonghua, LIU Qiang, Overview of large-scale intermittent new energy grid-connected control technology, Power System Protection and Control, 42, 22, pp. 140-146, (2014)

[4]

WANG Xinbao, GE Jing, HAN Lianshan, Et al., Theory and practice of grid-forming BESS supporting the construction of a new type of power system, Power System Protection and Control, 51, 5, pp. 172-179, (2023)

[5]

LIU J, MIURA Y, ISE T., Comparison of dynamic characteristics between virtual synchronous generator and droop control in inverter-based distributed generators, IEEE Transactions on Power Electronics, 31, 5, pp. 3600-3611, (2016)

[6]

ZHONG Q C, WEISS G., Synchronverters: inverters that mimic synchronous generators, IEEE Transactions on Industrial Electronics, 58, 4, pp. 1259-1267, (2011)

[7]

LU Zhipeng, SHENG Wanxing, LIU Haitao, Et al., Application and challenge of virtual synchronous machine technology in power system, Proceedings of the CSEE, 37, 2, pp. 349-360, (2017)

[8]

KANG Siwei, DONG Wenkai, GUO Shiran, Et al., Critical short-circuit ratio of small-signal stability for a grid-connected renewable power generation system based on virtual synchronous generator control, Electric Power Construction, 43, 3, pp. 131-140, (2022)

[9]

TAO Liang, CHENG Junzhao, WANG Wenxi, Et al., Methods of parameter design and optimization in virtual synchronous generator technology, Power System Protection and Control, 46, 12, pp. 128-135, (2018)

[10]

WU H, RUAN X, YANG D, Et al., Small-signal modeling and parameters design for virtual synchronous generators, IEEE Transactions on Industrial Electronics, 63, 7, pp. 4292-4303, (2016)

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