Optimal Distribution Generation Sizing via Fast Sequential Quadratic Programming

Author

AlHajri, M.F. ; El-Hawary, M.E.

fYear

2007

fDate

10-12 Oct. 2007

Firstpage

63

Lastpage

66

Abstract

In this paper a new methodology is proposed to solve the optimal Distributed Generation (DG) sizing problem. The main feature of the proposed approach is utilizing the radial power flow method to satisfy the power flow equality constraints as a substitute of the Newton method used in the conventional Sequential Quadratic Programming (SQP). The proposed technique, Fast SQP, is tested on 69-bus and 33-bus radial systems. Simulation results indicated that the execution time of the developed technique is significantly reduced by a factor of 2/3 compared to the conventional SQP.

Keywords

Newton method; distributed power generation; load flow; quadratic programming; DG sizing problem; Newton method; fast sequential quadratic programming; optimal distribution generation; power flow equality; radial power flow method; Distributed control; Distributed power generation; Equations; Load flow; Mesh generation; Newton method; Power generation; Power systems; Quadratic programming; System testing; Distribution Generation; Radial Power Flow; Sequential Quadratic Programming;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering, 2007 Large Engineering Systems Conference on

Conference_Location

Montreal, Que.

Print_ISBN

978-1-4244-1583-0

Electronic_ISBN

978-1-4244-1583-0

Type

conf

DOI

10.1109/LESCPE.2007.4437354

Filename

4437354