电网技术Issue(3)：756-761,6.DOI:10.13335/j.1000-3673.pst.2014.03.032
基于WAMS/SCADA数据兼容和改进FCM聚类算法的PMU最优配置
Optimal Configuration of PMU Based on Data Compatibility of WAMS/SCADA and Improved FCM Clustering Algorithm
摘要
Abstract
On the basis of analyzing data differences between wide area measurement system (WAMS) and supervisory control and data acquisition (SCADA), an optimal configuration scheme of PMU, which is based on data compatibility and improved fuzzy C-means (FCM) clustering algorithm, is proposed to solve the optimal configuration point for phasor measurement unit (PMU) during the hybrid measurement by WAMS and SCADA, which is currently widely applied in state estimation. Utilizing the idea of big data mining and using improved FCM clustering algorithm the SCADA data is partitioned according to the relevancy, and inside the partitions PMUs are configured at the node with maximum observability, within all partitions the same optimal smoothing factor of the PMU node is used for Vondrak interpolation to obtain the data satisfying the compatibility to applied in the state estimation of the hybrid model. Relative to the PMU configuration scheme only considering observability, using the proposed scheme not only the WAMS/SCADA data can be effectively compatible to improve the estimation accuracy, but also the state estimation using hybrid measurement can effectively control the estimation error during the rapid variation of system load. The effectiveness of the proposed optimal PMU configuration scheme is validated by simulation results of daily load variation in IEEE 39-bus system.关键词
状态估计/SCADA/广域量测系统/大数据挖掘/数据兼容/改进FCM聚类算法/PMU最优配置/Vondrak插值算法Key words
state estimation/SCADA/WAMS/big data mining/data compatibility/improved FCM clustering algorithm/optimal PMU configuration/Vondrak interpolation algorithm分类
信息技术与安全科学引用本文复制引用
吴星,刘天琪,李兴源,李从善..基于WAMS/SCADA数据兼容和改进FCM聚类算法的PMU最优配置[J].电网技术,2014,(3):756-761,6.基金项目
国家自然科学基金资助项目(51037003)。@@@@Project Supported by National Natural Science Foundation of China (51037003) （51037003）
