IDENTIFICATION OF PARAMETERS FOR POWER SYSTEM STABILITY ANALYSIS USING KALMAN FILTER.

被引：0
|
作者：
Namba, M.
Nishiwaki, T.
Yokokawa, S.
Ohtsuka, K.
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来源：
Engineering News-Record | 1981年
关键词：
CONTROL SYSTEMS - Estimation - SIGNAL FILTERING AND PREDICTION - Kalman Filtering - SYSTEM STABILITY - Analysis - SYSTEMS SCIENCE AND CYBERNETICS - Identification;
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摘要：
The authors propose that parameters on generators and the control units, used for power stability analysis, should be identified on the field data for reliable analysis in planning and operation of power supply systems. They apply the Kalman filter technique in estimating the parameters. The identified data are compared with the design data and are well verified by analyzing dynamic stability under the line switching condition. Which deviation designed values from identified values has the largest influence on the analysis, is also investigated.
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