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Power systems operation using particle swarm optimization technique

delete2008-11-01
delete15
PRE
AI
A
Adel A. Abou El‐Ela
T
Tamer Fetouh *
M
M. A. Bishr
R
R. A. F. Saleh
DOI:10.1016/j.epsr.2008.03.021delete
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摘要

摘要

En 中文
This paper presents a proposed technique for solving different optimization problems using particle swarm optimization (PSO) technique as a modern optimization technique. The security constrained optimal active power dispatch is solved by a proposed optimal effective localized area (OELA) in large-scale power system at different operating conditions. However, the boundaries of this area can be increased or decreased depending on the amount and type of the operation problems as well as the control action requirements to remove these problems. Hence, minimum control variables are adjusted in a small-localized area to steer the system to secure and reliable operation condition. The optimal operation of ready reserve is introduced using an efficient proposed procedure considering the security constraints of the transmission lines power flows. Different emergency condition problems are solved using the OELA applied to different standard test systems. (C) 2008 Elsevier B.V. All rights reserved.
Keyword:
particle swarm
optimal dispatch
large-scale system
ready reserve and spinning reserve

期刊

Electric Power Systems Research 封面图
Electric Power Systems Research
IF:
4.2
论文数:
1.2W
被引数:
2.2W

机构

E
egyptian knowledge bank (ekb)
学者数:
11.6W
论文数: 9.3W
被引数: 84
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