Improved PSO & Its Application for DOPF in FSWGs Integrated Power System

Author

Chen, Gonggui ; Lei, Hangtian ; Xu, Jian

Author_Institution

Dept. of Electr. Eng., Hubei Univ. for Nat., Enshi, China

fYear

2010

fDate

22-23 May 2010

Firstpage

1

Lastpage

5

Abstract

Dynamic optimal power flow (DOPF) is a typical complex multi-constrained non-convex non-linear programming problem when considering the valve-point effect of conventional generators. Moreover, it is mixed integer when considering the discreteness of reactive compensation devices for power system with fixed speed wind generators (FSWGs). DOPF model is established in this paper, and then an improved particle swarm optimization (IPSO)is adopted for solving the established DOPF model. IEEE 39-bus system is used to illustrate the effectiveness of the proposed method compared with those obtained from particle swarm optimization (PSO) algorithm. The test results show that the proposed method is effective and has a certain practicality.

Keywords

nonlinear programming; particle swarm optimisation; wind power plants; DOPF; FSWG integrated power system; IPSO; dynamic optimal power flow; fixed speed wind generators; improved particle swarm optimization; mixed integer; multiconstrained nonconvex nonlinear programming problem; Dynamic programming; Load flow; Nonlinear dynamical systems; Particle swarm optimization; Power generation; Power system dynamics; Power system modeling; Power systems; Wind energy generation; Wind power generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5872-1

Electronic_ISBN

978-1-4244-5874-5

Type

conf

DOI

10.1109/IWISA.2010.5473299

Filename

5473299