| 引用本文: | 汪 颖,罗宇岑,殷毓杉,等.注入式与非注入式协同的逆变器阻抗估计[J].电力系统保护与控制,2025,53(24):38-51.[点击复制] |
| WANG Ying,LUO Yucen,YIN Yushan,et al.Coordinated injected and non-injected inverter impedance estimation[J].Power System Protection and Control,2025,53(24):38-51[点击复制] |
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| 摘要: |
| 准确的逆变器阻抗信息是分析和解决新能源并网稳定性、电能质量等问题的关键。针对注入式阻抗量测成本高、向系统注入扰动存在安全风险和非注入式阻抗估计准确率低等问题，提出注入式与非注入式协同的逆变器阻抗估计方法。首先，构建逆变器参数估计模型，以历史阻抗量测数据为输入，以阻抗估计值和实测值差值最小为目标，考虑滤波电路和控制回路等约束条件，求解最优逆变器参数。其次，提出动态阻抗聚类方法，以求解的逆变器参数为特征进行阻抗量测数据的分类聚合，聚类结果以表征逆变器分工况特性。然后，提出逆变器阻抗估计方法，基于历史阻抗量测数据构建分工况的特征矩阵，应用非注入式量测实时获取的功率数据，与特征矩阵的元素进行特征匹配，实现实时逆变器阻抗估计。最后，仿真结果验证了所提阻抗估计方法具备较强的抗干扰能力，且比单一注入式方法与非注入式方法准确率高、对系统影响小，具有一定的工程应用价值。 |
| 关键词: 电能质量 参数估计 阻抗聚类 阻抗估计 宽频带 |
| DOI：10.19783/j.cnki.pspc.250121 |
| 投稿时间：2025-02-05修订日期：2025-04-29 |
| 基金项目:国家重点研发计划项目资助(2023YFB2407600) |
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| Coordinated injected and non-injected inverter impedance estimation |
| WANG Ying1,LUO Yucen1,YIN Yushan1,MA Xiaoyang1,JIA Shiru1,WANG Xinyue1,CHEN Weidong2,GUO Min2 |
| (1. College of Electrical Engineering, Sichuan University, Chengdu 610065, China; 2. Electric Power Research
Institute of Guangxi Power Grid Company Limited, Nanning 530023, China) |
| Abstract: |
| Accurate inverter impedance information is essential for analyzing and solving issues related to the stability and power quality of new energy grid integration. To address the high cost and safety risks of injected impedance measurement, where disturbances are intentionally injected into the system, as well as the low accuracy of non-injected impedance estimation, a coordinated injected and non-injected inverter impedance estimation method is proposed. First, an inverter parameter estimation model is constructed, using historical impedance measurement data as input and minimizing the deviation between the estimated and measured impedance values as the objective. Considering constraints from the filtering circuitry and control loops, optimal inverter parameters are obtained. Second, a dynamic impedance clustering method is proposed, which uses the solved inverter parameters as features to classify and aggregate impedance measurement data, while the clustering results characterize inverter operating sub-conditions. Then, an inverter impedance estimation method is proposed to construct the feature matrix of sub-conditions based on historical impedance measurements, and real-time power data acquired from non-injected measurements are matched with elements of the feature matrix to estimate inverter impedance in real time. Finally, simulation results verify that the proposed impedance estimation method has strong anti-interference ability, achieves higher accuracy than either injected-only or non-injected-only methods, imposes less impact on the system, and holds practical engineering value. |
| Key words: power quality parameter estimation impedance clustering impedance estimation wideband |
