Utilizing fuzzy optimization for distributed generation allocation

Author

Cano, Edwin B.

Author_Institution

Nat. Transmission Corp., Angeles

fYear

2007

fDate

Oct. 30 2007-Nov. 2 2007

Firstpage

1

Lastpage

4

Abstract

Distributed generation (DG) allocation problem is addressed utilizing fuzzy multi-objective optimization in this paper. It is shown that the methodology provides needed consideration for DG allocation and accounts for uncertainty using fuzzy set theory. Voltage drop reduction, short circuit capacity (SCC) augmentation, decrease operation cost and system losses reduction were considered as objectives for formulating fuzzy optimization. The paper discusses in detail the approach adopted and several numerical examples are presented to test the developed methodology.

Keywords

cost reduction; distributed power generation; distribution networks; fuzzy set theory; power system interconnection; distributed generation allocation; fuzzy multiobjective optimization; fuzzy set theory; operation cost reduction; short circuit capacity augmentation; system losses reduction; voltage drop reduction; Costs; Distributed control; Fuzzy set theory; Fuzzy systems; Integrated circuit interconnections; Optimization methods; Power system interconnection; Power system planning; Uncertainty; Voltage; distributed generation; distribution systems; fuzzy set theory; optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2007 - 2007 IEEE Region 10 Conference

Conference_Location

Taipei

Print_ISBN

978-1-4244-1272-3

Electronic_ISBN

978-1-4244-1272-3

Type

conf

DOI

10.1109/TENCON.2007.4428814

Filename

4428814