江苏电力公司辅助的电力系统参数校准
PMU Assisted Power System Parameter Calibration at Jiangsu Electric Power Company
AI总结：
本文提出一种基于PMU的在线电力系统参数校准系统，用于实时校准输电线路和发电机参数，并通过数据挖掘技术进行数据清洗和模型验证。
摘要：
最近，国家电网江苏电力公司（JEPC）开发并实施了一种在线PMU辅助的电力系统参数校准系统（PSPCS）。PSPCS利用高分辨率PMU数据和数据挖掘技术，对EMS和生产管理系统（PMS）数据库进行在线筛选，以实现数据清洗、模型验证和参数校准。PSPCS定期实时计算输电线路和发电机参数，并将结果与数据库进行比较，以识别是否存在显著差异的记录。一旦发现一致的差异，系统将触发标志，并进一步进行调查，包括一种新的基于密度的空间聚类过程用于参数/数据校准。本文提出了一种新的度量标准，用于量化基于PMU的参数识别的可信度。本文讨论了所提出的方法、挑战以及在PSPCS开发和部署过程中发现的实施问题。
英文摘要：
An online PMU-assisted Power System Parameter Calibration System (PSPCS) was recently developed and implemented at State Grid Jiangsu Electric Power Company (JEPC). PSPCS leverages high-resolution PMU data and data mining techniques to perform online screening of the EMS and Production Management System (PMS) databases for data cleaning, model validation, and parameter calibration. PSPCS calculates transmission line and generator parameters on a regular real-time basis and compares the results with databases to identify record(s) with significant discrepancy, if any. Once consistent discrepancy is observed, the system will raise a flag and further investigation will be initiated, including a novel density-based spatial clustering procedure for parameter/data calibration. A novel metric is proposed to quantify the credibility of PMU-based parameter identification. This paper discusses the proposed methodologies, challenges, as well as implementation issues identified during the development and deployment of PSPCS.
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