WAMS State Estimation Considering Possible One-Step Delayed Measurements

被引：0

作者：

Eskandari, Neda ^{[1
]}

Dehghani, Maryam ^{[1
]}

Mohammadi, Mohsen ^{[2
]}

Vafamand, Navid ^{[1
]}

Dragicevic, Tomislav ^{[3
]}

Rodriguez, Jose ^{[4
]}

机构：

[1] Shiraz Univ, Sch Elect & Comp Engn, Shiraz, Iran

[2] Shiraz Univ, Sch Mech Engn, Shiraz, Iran

[3] Tech Univ Denmark, Dept Elect Engn, Lyngby, Denmark

[4] Univ Andres Bello, Dept Engn, Santiago, Chile

来源：

2020 IEEE 11TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG) | 2020年

关键词：

Wide-area Monitoring System (WAMS); Stochastic Kalman Filter; Random Measurement Delay; Phasor Measurement Unit (PMU); KALMAN FILTER;

D O I：

10.1109/pedg48541.2020.9244436

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Phasor Communication Delay in a large power system is indispensable. The delay can be mainly originated by the practical limitations of exploiting the communication line or the measurement units. In this paper, a linear Stochastic Delayed Kalman Filter (SDKF) is used for the wide-area measurement system (WAMS) application. It is considered that some or all information from the phasor measurement units (PMUs) may be received by a one-step delay. Therefore, the SDKF is utilized effectively to compensate for the influence of the wide-area monitoring system (WAMS) random delays on state estimation. To show the applicability of the SLKF, real-time simulations are carried out on the IEEE 14-bus benchmark via the OPAL-RT hardware. Real-time results show that the considered SLKF provides more accurate estimations than the conventional Kalman filter.

引用

页码：328 / 333

页数：6

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