DocumentCode :
3666029
Title :
Heuristic optimization for wind energy integrated optimal power flow
Author :
Wenlei Bai;Ibrahim Eke;Kwang Y. Lee
Author_Institution :
Electrical and Computer Engineering, Baylor University, Waco, Texas 76798, USA
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
5
Abstract :
Wind energy has been playing a critical role in modern electric power system due to the fact that wind is free of cost and environment-friendly. However the inherent intermittency of wind has complicated system operation such as optimal power flow (OPF). In this paper, the authors present a stochastic OPF model integrated with wind power (WOPF). Since WOPF is a highly non-linear and non-convex problem, a heuristic method, artificial bee colony (ABC), is utilized to handle the problem. Heuristic methods are credited for their simplicity to solve complicated non-linear optimization problem without approximating the system and the ability to find better global optimum. Two IEEE systems (30 and 118 bus) are used to test the validity and effectiveness of the method.
Keywords :
"Wind power generation","Generators","Wind speed","Load flow","Optimization","Fuels","Linear programming"
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2015 IEEE
ISSN :
1932-5517
Type :
conf
DOI :
10.1109/PESGM.2015.7286509
Filename :
7286509
Link To Document :
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