| 引用本文: | 陈 杰,程 静,王维庆,黄 瓷.应用多参数协同自适应方法的虚拟同步发电机控制策略[J].电力系统保护与控制,2024,52(23):74-85.[点击复制] |
| CHEN Jie,CHENG Jing,WANG Weiqing,HUANG Ci.Control strategy for a virtual synchronous generator using a multi-parameter cooperative adaptive method[J].Power System Protection and Control,2024,52(23):74-85[点击复制] |
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| 摘要: |
| 应用虚拟同步发电机(virtual synchronous generator, VSG)技术的光储系统在并网运行工况发生改变时，VSG输出功率和频率会发生较大波动。为了减缓功率-频率振荡，提出一种多参数协同自适应控制策略，该策略能有效抑制系统波动。首先根据VSG小信号模型，推导出系统满足相角稳定裕度条件下虚拟惯量J和阻尼系数D的取值范围。其次考虑到有功下垂系数Kf会改变系统功率-频率特性的敏感程度，设计了包含J、D、Kf的三参数协同自适应变化函数，为实现阻尼系数在第二阶段缓慢减小和第四阶段进一步增大，引入了频率差值积分项。然后，为进一步验证此方法在系统受大扰动时的适用性，在小信号分析的基础上进行VSG暂态稳定性分析。最后，在Matlab/Simulink平台的仿真模型中针对不同工况进行验证。仿真结果表明，无论在大扰动还是小扰动工况，采用改进后的方法都能够很好地增强系统稳定性。 |
| 关键词: 虚拟同步发电机 小信号模型 虚拟惯量 阻尼系数 下垂系数 自适应控制 |
| DOI：10.19783/j.cnki.pspc.240379 |
| 投稿时间：2024-04-01修订日期：2024-06-16 |
| 基金项目:国家重点研发计划项目资助(2021YFB1506900)；新疆维吾尔自治区重大专项资助(2022A01001-4) |
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| Control strategy for a virtual synchronous generator using a multi-parameter cooperative adaptive method |
| CHEN Jie,CHENG Jing,WANG Weiqing,HUANG Ci |
| (Ministry of Education Engineering Research Centre for Renewable Energy Power Generation and
Grid-connected Control (Xinjiang University), Urumqi 830017, China) |
| Abstract: |
| The output power and frequency of the optical storage system using virtual synchronous generator (VSG) technology will fluctuate greatly when the operating condition of the system is changed. In order to slow down power-frequency oscillation, a multi-parameter cooperative adaptive control strategy is proposed, which can effectively suppress system fluctuation. First, based on VSG small signal model, the value range of virtual inertiaand damping coefficient D under the condition that the system meets the phase angle stability margin is derived. Secondly, considering that the active power sag coefficient Kf will change the sensitivity of the system’s power-frequency characteristics, a three-parameter collaborative adaptive change function including J, D and Kf is designed. In order to realize D slowly decreasing in the second stage and further increasing in the fourth stage, the integral term of frequency difference is introduced. To further verify the applicability of this method when the system is subjected to large perturbations, VSG transient stability analysis is performed on the basis of small-signal analysis. Finally, it is verified in the simulation model of Matlab/Simulink platform for different working conditions. The simulation results show that the system stability can be well enhanced with the improved method in both large and small disturbance conditions. |
| Key words: virtual synchronous generator small signal model virtual inertia damping coefficient sag coefficient adaptive control |
