Power distribution network mixed state estimation method based on various time period measured data
A technology of measuring data and mixed state, applied in the field of distribution network mixed state estimation, which can solve problems such as difficulties, excessive investment and maintenance
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[0081] The present invention will be further described below in conjunction with accompanying drawing.
[0082] Principle of Kalman Filter
[0083] Kalman filter is applied to the research of dynamic state estimation of linear system, and the whole process is divided into two parts: prediction link and filtering link. In the prediction link, a certain estimate is made on the value to be predicted and the corresponding covariance matrix,
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[0087] where F k-1 The matrix connects the system state variables at two moments k-1 and k, q k Represents the process error in the forecasting process.
[0088] The second link is the filtering estimation part, which uses the latest actual measured data to update the state value.
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[0092] where the matrix K k is the gain matrix (Gain Matrix). The essence of the estimation link of the Kalman filter is a trade-off between the predicted information and the measured info...
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