| 引用本文: | 摆世彬,严明辉,徐 伟,等.含大规模风电集群电网的在线计算数据生成技术[J].电力系统保护与控制,2021,49(3):64-72.[点击复制] |
| BAI Shibin,YAN Minghui,XU Wei,et al.An online calculation data generation technology for a power grid integrated with a large-scale wind farm[J].Power System Protection and Control,2021,49(3):64-72[点击复制] |
|
| 摘要: |
| 风电机组大规模接入导致电网的稳定形态更加复杂，迫切需要通过在线安全分析提高电网的新能源消纳能力和运行效率。针对在线安全分析难以准确模拟风电场动态特性的问题，提出了一种含大规模风电集群电网的在线计算数据生成技术。首先，融合状态估计、SCADA和安控系统等多源实时数据辨识低电压网络的运行状态，形成包含风电集群的电网运行方式数据。其中，根据量测数据的时空关联校正模型，识别和校正未经过状态估计量测中的不良数据。然后，依次依据风电机组的静态特征信息和运行状态进行分群，采用基于层次分析的聚类方法确定风电场的动态等值模型。最后，通过实际电网的算例分析验证了所提出方法的有效性。 |
| 关键词: 在线计算 大规模风电 多源数据融合 低压网络状态识别 风电场在线等值 |
| DOI：DOI: 10.19783/j.cnki.pspc.200437 |
| 投稿时间：2020-04-22修订日期：2020-06-24 |
| 基金项目:宁夏回族自治区重点研发计划项目资助(5229NX18001W) |
|
| An online calculation data generation technology for a power grid integrated with a large-scale wind farm |
| BAI Shibin,YAN Minghui,XU Wei,MENG Jinyou,SUN Xiaoxiang,ZHOU Haifeng |
| (1. State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750001, China; 2. NARI Technology Co., Ltd.,
Nanjing 211106, China; 3. NARI Group Co., Ltd., Nanjing 211106, China) |
| Abstract: |
| The large-scale integration of wind farms leads to more complex stability modes. Online security and stability analysis is necessary to improve the new energy absorption capacity and operational efficiency of a power grid. An online calculation data generation technology is proposed to simulate the dynamic characteristics of wind farm accurately. First, the operating state of the low-voltage network is identified by the fusion of multi-source real-time data from state estimation, SCADA and security and stability control systems to form operating mode data integrated with wind farm clusters. A spatio-temporal correlation measurement correction model is adopted to identify and correct bad measurement data unhandled by state estimation. Secondly, a clustering method based on Analytic Hierarchy Process (AHP) is used to obtain a dynamic equivalent model of wind farm based on static characteristics and the operating state of wind turbines. Finally, the effectiveness of the method has been verified by cases of the actual power grid.
This work is supported by the Key Research and Development Program of the Ningxia Hui Autonomous Region (No. 5229NX18001W). |
| Key words: online calculation large-scale wind power multi-source data fusion low voltage network status identification equivalent wind power generators |
