Title :
Fuzzy inference based identification of load characteristics
Author_Institution :
Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan
Abstract :
This paper proposes an efficient fuzzy-logic based technique for identifying nodal load characteristics in power networks. Load dynamics is too complicated to understand the behavior. To capture the load characteristics, fuzzy inference is used to load modeling. As a fuzzy technique, this paper makes use of the simplified fuzzy inference that handle the output variable as a crisp one. The proposed method is tested in field data
Keywords :
fuzzy logic; identification; inference mechanisms; load (electric); power system analysis computing; fuzzy inference; fuzzy logic; identification; load dynamics; load modeling; nodal load characteristics; power network; Frequency; Load modeling; Mathematical model; Power system analysis computing; Power system modeling; Power system reliability; Power system stability; Stability analysis; Testing; Voltage;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.540024