Title of article :
Power systems operation using particle swarm optimization technique
Author/Authors :
A.A. Abou El-Ela، نويسنده , , T. Fetouh، نويسنده , , M.A. Bishr، نويسنده , , R.A.F. Saleh، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
8
From page :
1906
To page :
1913
Abstract :
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.
Keywords :
Particle swarm , Ready reserve and spinning reserve , Large-scale system , Optimal dispatch
Journal title :
Electric Power Systems Research
Serial Year :
2008
Journal title :
Electric Power Systems Research
Record number :
415433
Link To Document :
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