The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 32-687
Full Name: R Shivakumar
Position: Assistant Professor
Age: ON
Sex: Male
Address: Assistant Professor / EEE,Sona College of Technology,Salem-636005
Country: INDIA
Tel: 9894493375
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E-mail address: mukil2005@gmail.com
Other E-mails: mukilshiva@gmail.com
Title of the Paper: Design of Bio Inspired GA and PSO based Optimal Damping Controller including Steam GT Dynamics
Authors as they appear in the Paper: R.Shivakumar, Dr.R.Lakshmipathi
Email addresses of all the authors: mukil2005@gmail.com,drrlakshmipathi@yahoo.com
Number of paper pages: 11
Abstract: Abstract: - The Stability of Power System is one of the most important aspects in Electric System operations. Low frequency oscillations after a disturbance in a Power system, if not sufficiently damped, can drive the system unstable. This paper provides a systematic procedure to damp the low frequency oscillations based on Modern Bio Inspired Genetic (GA) and Particle Swarm Optimization (PSO) algorithms. The proposed controller design is based on formulating a System Damping ratio enhancement based Optimization criterion to compute the optimal controller parameters, which aid in enhancing system stability to a greater extent. The Novel feature of this work is the mathematical modeling and simulation of the Synchronous generator model including the Steam Governor Turbine (GT) dynamics. To show the robustness of the proposed controller, Non linear Time domain simulations involving Parameter Sensitivity Analysis has been carried out under various system operating con!
ditions and also under various system parameter variations. Also, a detailed Comparative study has been done to show the superiority of the Bio inspired algorithms based controller over the Conventional Lead lag controller.
Keywords: Bio Inspired Algorithms,Conventional Lead Lag controller,Genetic Algorithm,Low frequency oscillations,Particle Swarm Optimization,Power System Stability
EXTENSION of the file: .pdf
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