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
收藏
页码:328 / 333
页数:6
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