DocumentCode
3100936
Title
Optimal Distributed Generation Parameters for Reducing Losses with Economic Consideration
Author
Le, An D T ; Kashem, M.A. ; Negnevitsky, M. ; Ledwich, G.
Author_Institution
Sch. of Eng., Tasmania Univ., Hobart, TAS
fYear
2007
fDate
24-28 June 2007
Firstpage
1
Lastpage
8
Abstract
Distributed generation (DG) represents a reliable option for solving current major problems of distribution companies, such as load growth, overloaded lines, quality of supply and reliability. Moreover, it has been proven that the additional benefits brought by DG could be substantial if properly used. This paper addresses the issue of optimizing DG planning in term of DG size and location to reduce the amount of line losses in the distribution networks. The optimization methodology, which is based on the sequential quadratic programming (SQP) algorithm, firstly assesses the compatibility of different generation schemes upon the level of power loss reduction and DG cost. The solutions obtained are finally validated with the constraints of maximum number and size of DG, as well as voltage violation and DG penetration. The proposed method is tested on IEEE 33 bus system, proving that the technique is effective and applicable.
Keywords
distributed power generation; power generation planning; quadratic programming; DG planning; IEEE 33 bus system; SQP algorithm; optimal distributed generation parameters; optimization methodology; power loss reduction; sequential quadratic programming algorithm; Australia; Cost function; Distributed control; Environmental economics; Investments; Power engineering and energy; Power generation; Power generation economics; Voltage; Wind turbines; Distributed Generation; Distribution System; Loss Reduction; Optimal Location; Optimal Size; Voltage Limit;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location
Tampa, FL
ISSN
1932-5517
Print_ISBN
1-4244-1296-X
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2007.386058
Filename
4275824
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