Forecasting of available transfer capability in intersystem transmission lines

Forecasting of available transfer capability in intersystem transmission lines

The paper develops a technique of available transfer capability forecasting in the controlled lines. The technique involves using dynamic state estimation, modified state estimation, and artificial neural networks. Dynamic state estimation yields the predicted values of the state variables. Modified...

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Bibliographic Details
Published in:2016 IEEE International Energy Conference (ENERGYCON) pp. 1 - 6
Main Authors: Glazunova, A. M., Aksaeva, E. S., Semshchikov, E. S.
Format: Conference Proceeding
Language:English
Published: IEEE 14-07-2016
Subjects:
Artificial neural networks
dynamic state estimation
electric power system
forecast
Forecasting
Mathematical model
Measurements
Power measurement
Power system dynamics
State estimation
Steady-state
Online Access:Get full text
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Summary:The paper develops a technique of available transfer capability forecasting in the controlled lines. The technique involves using dynamic state estimation, modified state estimation, and artificial neural networks. Dynamic state estimation yields the predicted values of the state variables. Modified state estimation calculates the total transfer capability on the basis of the forecast data. Artificial neural networks are used to quickly adjust the modified state estimator in real time.
DOI:10.1109/ENERGYCON.2016.7514127