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Wind speed and power ultra short-term robust forecasting based on Takagi–Sugeno fuzzy model

Liu F., Li R., Dreglea A. Wind speed and power ultra short-term robust forecasting based on Takagi–Sugeno fuzzy model // Energies. Vol.12. No.18. ID: 3551. 2019. DOI: 10.3390/en12183551 Accurate wind power and wind speed forecasting remains a critical challenge in wind power systems management. This paper proposes an ultra short-time forecasting method based on the Takagi–Sugeno (T–S) fuzzy model for wind power and wind speed. The model does not rely on a large amount of historical data and can...

Теги: linearization , machine learning , wind power: wind speed: t–s fuzzy model: forecasting , backpropagation , clustering algorithms , fuzzy clustering , learning systems , least squares approximations , neural networks , support vector machines , wind , wind power , b
Раздел: ИСЭМ СО РАН
Forecasting of available transfer capability in intersystem transmission lines

... 9 781 467 . DOI: 10.1109/ENERGYCON.2016.7514127 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 ...

Теги: electric power systems , forecasting , measurements , neural networks , available transfer capability , dynamic state estimation , intersystem , real time , state estimators , state variables , total transfer c
Раздел: ИСЭМ СО РАН
Forecasting the Total Transfer Capability of Intersystem Lines for On-line Control of Electric Power System Operation

....27. 2016. P.455-460. DOI: 10.1016/j.ifacol.2016.10.775 The paper develops a technique of total 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. The obtained state is called the resultant steady state....

Теги: electric lines , electric power systems , forecasting , measurements , neural networks , state estimation , dynamic state estimation , estimation program , on-line controls , operation constraint , optimal resu
Раздел: ИСЭМ СО РАН
A hybrid artificial neural network for voltage security evaluation in a power system

Zhukov A., Tomin N., Sidorov D., Panasetsky D., Spirayev V. A hybrid artificial neural network for voltage security evaluation in a power system // IYCE 2015 - Proceedings: 2015 5th International Youth Conference on Energy. 2015. 1 p. ISBN (print): 9781467371. DOI: 10.1109/IYCE.2015.7180828 A majority of recent large-scale blackouts have been the consequence of instabilities characterized by sudden voltage collapse phenomena. This paper presents a method for voltage instability monitoring in a power...

Теги: electric power system security , multilayers , network security , neural networks , emergency , hybrid artificial neural network , kohonen neural networks , large-scale blackout , power security , power system
Раздел: ИСЭМ СО РАН


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