A new fuzzy reasoning approach for load balancing in distribution system

Author

Raj, B. Naga ; Rao, K.S.Prakasa

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol., Delhi, India

Volume

10

Issue

3

fYear

1995

fDate

8/1/1995 12:00:00 AM

Firstpage

1426

Lastpage

1432

Abstract

Transformer and feeder load balancing in a distribution system reduces the risk of overloads due to load changes. The possible out of service area following the occurrence of a fault is also reduced. However, keeping in view the life expectancy of the switches, it is desirable that the number of switching operations is kept to a minimum. A new algorithm for load balancing based on fuzzy set decision theory is presented in this paper. The decision regarding switching operations is arrived at by considering transformer and feeder load balancing together. The proposed method is illustrated through an example

Keywords

distribution networks; fuzzy set theory; load (electric); power transformers; switching; distribution system; fault; feeder load balancing; fuzzy reasoning; fuzzy set decision theory; out of service area; overload risk reduction; switch life expectancy; switching operations; transformer load balancing; Decision making; Decision theory; Fuzzy reasoning; Fuzzy set theory; Investments; Load management; Power & Energy Society; Power engineering and energy; Printing; Switches;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.466508

Filename

466508