Security enhancement of electric power systems by approximate reasoning

Author

Niimura, Takahide ; Yokoyama, Ryuichi

Author_Institution

Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada

Volume

1

fYear

1995

fDate

20-24 Mar 1995

Firstpage

205

Abstract

In this paper the authors present an approach to enhance the security of power systems by supplementing optimal generation scheduling solutions for reducing branch overload in the case of contingencies. The supplementary control adjustment is determined by approximate reasoning based on qualitative rules and fuzzy sets. Fuzzy sets and reasoning procedure are defined for effective security enhancement of real power generation. Numerical examples prove that this approach yields more secure conditions against branch overload

Keywords

fuzzy set theory; inference mechanisms; load dispatching; power system analysis computing; power system control; power system security; scheduling; approximate reasoning; branch overload reduction; economic dispatch; electric power systems; fuzzy sets; optimal generation scheduling solutions; qualitative rules; real power generation; security enhancement; supplementary control adjustment; Fuzzy sets; Load flow; Optimal scheduling; Power engineering computing; Power generation; Power generation economics; Power system economics; Power system faults; Power system protection; Power system security;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int

Conference_Location

Yokohama

Print_ISBN

0-7803-2461-7

Type

conf

DOI

10.1109/FUZZY.1995.409682

Filename

409682