Distributed Bayesian Hybrid Power State Estimation with PMU Synchronization Errors

被引：0

作者：

Du, Jian ^{[1
]}

Ma, Shaodan ^{[1
]}

Wu, Yik-Chung ^{[2
]}

Poor, H. Vincent ^{[3
]}

机构：

[1] Univ Macau, Dept Elect & Comp Engn, Macau, Peoples R China

[2] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China

[3] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA

来源：

2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014) | 2014年

关键词：

TRACKING; SYSTEMS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents a distributed hybrid power state estimator, with measurements from both the traditional supervisory control and data acquisition (SCADA) system and the newly invented phasor measurement units (PMUs). The proposed distributed algorithm, which jointly estimates the power states and PMU phase errors, only involves local computations and limited information exchange between neighboring areas, thus alleviating the heavy communication burden compared to the centralized approach. Simulation results show that the performance of the proposed algorithm is very close to that of centralized optimal hybrid state estimates without sampling phase error.

引用

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页码：3174 / 3179

页数：6

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