DocumentCode :
3486356
Title :
Fuzzy optimal capacitor sizing and placement
Author :
Ng, H.N. ; Salama, M.M.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume :
2
fYear :
1995
fDate :
5-8 Sep 1995
Firstpage :
680
Abstract :
The installation of power capacitors in distribution systems yields numerous economical benefits and improvements in system performance. There are many algorithms to determine the optimal capacitor sizes and their placement in distribution systems. All of these methods require data, which may be uncertain in nature, to generate an acceptable solution to the capacitor sizing and placement problem. To account for such uncertainties in these parameters, a new method using fuzzy set theory is proposed. This proposed method employs a known method for optimal capacitor sizing and placement but models its parameters by possibility distribution functions. The generated fuzzy solutions offer a more suitable means of evaluating the goodness of the results based on uncertain data. In this paper, a fuzzy optimal capacitor sizing and placement method is applied to a practical test case system
Keywords :
distribution networks; fuzzy set theory; load flow; optimisation; power capacitors; power system planning; probability; reactive power; distribution systems; fuzzy optimal algorithms; fuzzy set theory; parameter uncertainties; possibility distribution functions; power capacitor placement; power capacitor sizing; reactive power flow planning; uncertain data; Cost function; Energy loss; Fuzzy set theory; Fuzzy systems; Power capacitors; Power engineering and energy; Power engineering computing; Power generation economics; Power system economics; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location :
Montreal, Que.
ISSN :
0840-7789
Print_ISBN :
0-7803-2766-7
Type :
conf
DOI :
10.1109/CCECE.1995.526295
Filename :
526295
Link To Document :
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