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电动汽车驱动
★ 5.0
多并网变流器系统中脆弱节点的识别及控制参数灵敏度分析
Identification of Vulnerable Nodes and Sensitivity Analysis of Control Parameters for Multiple Grid-Connected Converter Systems
| 作者 | Zhenxiang Liu · Yanbo Chen · Zhi Zhang · Jiahao Ma · Tao Huang |
| 期刊 | IEEE Transactions on Sustainable Energy |
| 出版日期 | 2024年12月 |
| 技术分类 | 电动汽车驱动 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 高比例可变可再生能源 小信号稳定性分析 多并网换流器系统 脆弱节点定位 综合补偿方案 |
语言:
中文摘要
高比例可再生能源接入电网引发的稳定性问题已成为制约其消纳并威胁电力系统安全运行的关键因素。针对系统静态工作点变化导致稳定裕度剧烈波动的场景,现有理论在判别与补偿方面仍显不足。本文基于小信号稳定性分析方法,提出一种考虑变流器动态响应特性与静态工作点偏移的多并网变流器系统脆弱节点定位方法。首先建立含无源母线的频域负反馈模型,进而推导主动节点控制参数的灵敏度函数及脆弱节点量化指标,最后提出面向主动节点与无源母线的综合补偿方案。算例分析表明,该方法对提升系统稳定性设计与运行规划具有显著价值。
English Abstract
The stability issue of high proportion variable renewable energy (VRE) when connected to the grid has become an important factor limiting the consumption of VRE and seriously threatening the stable operation of the power systems. However, there is still a lack of targeted discrimination theory and compensation mechanisms in areas where the stability margin undergoes drastic changes due to changes in the static operating point of the systems. To this end, based on the small signal stability analysis method, this paper proposes a vulnerable nodes localization method for the multiple grid-connected converter systems (MGCCS) that considers the dynamic response characteristics and static operating point offset of converters. Firstly, a frequency domain negative feedback model is established for MGCCS with passive busbars. Then the sensitivity function for the control parameters of active nodes and the quantitative indicators for identifying vulnerable nodes are derived. Finally, a comprehensive compensation scheme for both active nodes and passive busbars is proposed. Case analysis demonstrates that the proposed vulnerable nodes identification method and comprehensive compensation scheme offer substantial benefits in the realm of stability design and operation planning of MGCCS.
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SunView 深度解读
该脆弱节点识别与参数灵敏度分析技术对阳光电源多机并联场景具有重要应用价值。在PowerTitan大型储能系统中,多台ST系列变流器并网时,可通过该方法识别系统薄弱环节,优化控制参数配置,提升静态工作点变化时的稳定裕度。对于集中式光伏电站的SG系列逆变器集群并网,该技术可指导构网型GFM与跟网型GFL控制器的协调配置,针对脆弱节点实施差异化补偿策略。特别是在弱电网接入场景下,结合无源母线动态特性的频域负反馈模型,可为阳光电源iSolarCloud平台提供预测性稳定性评估功能,实现从被动应对到主动预防的运维升级,显著提升新能源电站的安全运行水平。