基于超短期负荷预测和混合量测的线性动态状态估计  

Linear Dynamic State Estimation Based on Mixed Measurements Using Ultra-short Term Load Prediction

作　　者：卫志农[1] 谢铁明[1] 孙国强[1] 

机构地区：[1]河海大学电气工程学院,江苏省南京市210098

出　　处：《中国电机工程学报》2010年第1期47-51,共5页Proceedings of the CSEE

基　　金：国家自然科学基金项目(50877024)~~

摘　　要：目前电力系统量测主要是广域测量系统(wide area measurement system,WAMS)和数据采集与监控系统(supervisory control and data acquisition,SCADA)混合量测并存。利用量测变换技术,将SCADA系统下支路功率量测和节点注入功率量测转换为等效的电流相量量测,并与WAMS量测组成混合量测系统,在此基础上提出了直角坐标系下的线性动态状态估计算法。此外,采用高精度的母线超短期负荷预测并通过潮流计算得到预测值,实现了系统状态的实时跟踪预测。该算法减少了动态状态估计的计算时间,提高了动态状态估计的计算精度。采用IEEE14节点系统对提出的算法进行了验证。There are measurements of the wide area measurement system （WAMS） and supervisory control and data acquisition （SCADA） available for power system nowadays. This paper presents a new linear dynamic state estimation （DSE） algorithm in rectangular coordinates. Branch power and node injection power measurements of SCADA system were transformed to equivalent current phasor measurements to mix with the measurements of WAMS. The high-precision ultra-short term load forecasting and load flow were used to realize the real-time tracking of state prediction. This algorithm considerably reduces the time for calculation and improves the accuracy of computation. Test results of the application of this algorithm in IEEE 14-bus test system were presented to show the effectiveness of the proposed algorithm.

关 键 词：电力系统 母线超短期负荷预测 线性动态状态估 计量测变换 相量量测 

分 类 号：TM71[电气工程—电力系统及自动化]