Title :
Artificial neural network based dynamic load modeling
Author :
Hiyama, Takashi ; Tokieda, Masatomo ; Hubbi, Walid ; Andou, Niroaki
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Kumamoto Univ., Japan
fDate :
11/1/1997 12:00:00 AM
Abstract :
The aim of this research is to investigate the use of artificial neural networks (ANN) with feedback loops for the modeling of power system dynamic loads using field data. In addition to the power demand before the transient, only the phase voltages are assumed available at the recall stage. It is found that the load dynamics can be identified using the ANN developed for the season and the location of the load being emulated. The frequency response of the tested load is also obtained using the achieved ANN model
Keywords :
frequency response; load (electric); neural nets; power system analysis computing; artificial neural networks; computer simulation; dynamic load modeling; feedback loops; frequency response; power systems; pre-transient power demand; Artificial neural networks; Feedback loop; Frequency response; Load modeling; Power demand; Power system dynamics; Power system modeling; Power system transients; Testing; Voltage;
Journal_Title :
Power Systems, IEEE Transactions on
