2025年4月6日 周日
首页 > 过刊浏览>2024年第39卷第2期 >181-189. DOI:10.19781/j.issn.1673-9140.2024.02.020
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光储逆变器的虚拟同步机自适应控制策略研究
CSTR:
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作者:
作者单位:

(1.上海电力大学自动化工程学院，上海 200090;2.上海空间电源研究所/空间电源技术国家重点实验室，上海 200245;3.上海太阳能工程技术研究中心，上海 200241)

通讯作者:

杨旭红（1969—），女，博士，教授，主要从事智能电网控制技术、新能源发电及储能技术、火电和核电机组的仿真建模及控制技术的研究；E?mail：yangxuhong.sh@163.com

中图分类号:

TM464

基金项目:

国家自然科学基金(51777120)；上海市2021年度“科技创新行动计划”科技支撑碳达峰碳中和专项（第一批）(21DZ1207502)


Research on adaptive control strategy of virtual synchronous machine applied for the photovoltaic and energy storage inverter
Author:
Affiliation:

(1.College of Automation Engineering, Shanghai University of Electric Power,Shanghai 200090, China;2.Shanghai Institute of Space Power‑Sources/State Key Laboratory of Space Power‑Sources Technology,Shanghai 200245, China;3.Shanghai Solar Energy Engineering Technology Research Center,Shanghai 200241, China)

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    摘要:

    针对具有固定转动惯量的常规光伏储能虚拟同步发电机并网发电系统容易出现功率振荡以及频率超调等问题，提出光储并网系统的虚拟同步发电机(virtual synchronous generator，VSG)自适应控制策略。首先，搭建虚拟同步发电机控制的光伏储能并网发电系统模型，系统前级采用光伏最大功率点跟踪（maximum power point tracking，MTTP）控制以及储能控制策略；然后，根据功角特性和转子角频率特性曲线分析转动惯量对VSG动态特性的影响，将RBF神经网络应用到VSG中，对转动惯量进行自适应调整，同时，在固定阻尼比的基础上，随着转动惯量的变化自适应调整阻尼系数；在MATLAB/SIMULINK上建立光储并网系统的VSG自适应控制仿真模型，验证此控制策略的可行性；最后，将自适应转动惯量阻尼控制策略与其他控制策略进行对比，仿真结果表明：采用此控制策略能够使光储并网系统的有功功率振荡得到抑制，改善转子角频率超调。

    Abstract:

    To address issues such as power oscillation and frequency overshoot in the grid-connected photovoltaic and energy storage system operating at virtual synchronous generator (VSG) mode that has fixed rotational inertia, an adaptive control strategy for VSG in the grid-connected photovoltaic and energy storage system is proposed. Firstly, a model of the grid-connected power generation system which on basis of VSG control and containing photovoltaic and energy storage is established. The front stage of the grid-connected power generation system adopts photovoltaic MTTP control and energy storage control. Then, the influence of rotational inertia on the dynamic characteristics of VSG is analyzed according to characteristic curves of the power angle and the rotor angular frequency. The RBF neural network is applied to the VSG to adaptively adjust the rotational inertia. Simultaneously, based on a fixed damping ratio, the damping coefficient is adaptively adjusted as the rotational inertia changes. A simulation model about the adaptive control of VSG for the grid-connected photovoltaic and energy storage system is built in MATLAB/SIMULINK to verify the feasibility of this control strategy. Finally, a comparison between the adaptive damping control strategy for rotational inertia and other control strategies is conducted. Simulation results demonstrate that this control strategy can suppress active power oscillations in the grid-connected photovoltaic and energy storage system and improve rotor angular frequency overshoot.

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杨旭红,金宏艳,刘众鑫,等.光储逆变器的虚拟同步机自适应控制策略研究[J].电力科学与技术学报,2024,39(2):181-189.
YANG Xuhong, JIN Hongyan, LIU Zhongxin, et al. Research on adaptive control strategy of virtual synchronous machine applied for the photovoltaic and energy storage inverter[J]. Journal of Electric Power Science and Technology,2024,39(2):181-189.

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