Title :
A load modeling using ANN for power system analysis
Author :
Lee, Jong-Pil ; Ji, Pyeong-Shik ; Lim, Jae-Yoon ; Kim, Ki-Dong ; Park, Si-Woo ; Kim, Jung-Hoon
Author_Institution :
Dept. of Electr. Eng., Tae-Dok Coll., Taejon, South Korea
Abstract :
A load model is very important to improve the accuracy of stability analysis and load flow study in power systems. A power system bus is composed of various loads, and these loads have different power consumptions to voltage/frequency changes. Thus, the effect of voltage/frequency changes must be considered in load modeling. In this research, an ANN was used to construct a component load model for more accurate load modeling. A typical residential load was selected, and experimented on voltage/frequency changes. Acquired data used to construct component ANN models, and an aggregation method of the component load model are presented based on component load model and composition rate. Furthermore, the transformation method used in traditional power system analysis software is also presented
Keywords :
load (electric); neural nets; power system analysis computing; artificial neural networks; computer simulation; load flow study; load modelling; power system analysis; stability analysis; Energy consumption; Frequency; Load flow analysis; Load modeling; Power system analysis computing; Power system modeling; Power system stability; Software systems; Stability analysis; Voltage;
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
DOI :
10.1109/TENCON.1999.818712