Title :
Utilizing fuzzy optimization for distributed generation allocation
Author_Institution :
Nat. Transmission Corp., Angeles
fDate :
Oct. 30 2007-Nov. 2 2007
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;
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
DOI :
10.1109/TENCON.2007.4428814
