Title :
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
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;
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
DOI :
10.1109/IWISA.2010.5473299
