A Systematic Approach and Genetic Algorithm Method to Power System Stabilizer Design for Wind Turbine Equipped with DFIG

2012 ◽  
Vol 229-231 ◽  
pp. 1095-1099
Author(s):  
Gholamreza Sayyad ◽  
Amin Khodabakhshian ◽  
Rahmatollah Hooshmand
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Wind Turbine ◽  
Dynamic Stability ◽  
Wind Farm ◽  
Optimization Technique ◽  
Power System Stabilizer ◽  
Genetic Algorithm Method ◽  
Doubly Fed ◽  
System Stabilizer

This paper develops a power system stabilizer (PSS) design for a wind turbine equipped with doubly fed induction generator (DFIG) which is based on vector control to improve the performance and dynamic stability of DFIG under fault conditions. The proposed PSS design is combined with genetic algorithm to obtain the higher-fitness answer as a strong optimization technique to the design of PSS parameters. A study network containing a wind farm equipped with DFIG was employed and all simulations will be carried out using MATLAB. It is shown that the employment of a proposed PSS can substantially enhance the contribution of a DFIG-based wind farm to network damping and dynamic stability.

scholarly journals Bat Intelligence For Tunning Power System Stabilizer At Barru Power Plant

2018 ◽  
Vol 2 (1) ◽  
pp. 16-20
Author(s):  
Muhammad Ruswandi Djalal ◽  
Andareas Pangkung ◽  
Sonong Sonong ◽  
Apollo Apollo
Keyword(s):  
Power Plant ◽  
Power System ◽  
Dynamic Stability ◽  
Bat Algorithm ◽  
System Dynamic ◽  
Power System Stabilizer ◽  
Rotor Angle ◽  
System Stabilizer ◽  
Smart Computing

Changes in load on the power system suddenly, can cause dynamic disruption. This disturbance can not be responded well by the generator, so it can affect the system dynamic stability, such as the occurrence of oscillation speed and rotor angle. Conventional control of excitation and governor, also unable to repair the oscillations, so that additional controllers such as Power System Stabilizer (PSS) are required. In the use of PSS, there are several problems that often arise, namely the correct tuning of PSS parameters. In this research, we proposed a method of smart computing based on bat algorithm, for tuning PSS parameters. From the analysis results can be concluded, the performance performance of generator barru increased with the installation of Power System Stabilizer with optimal PSS parameter, with parameters respectively Kpss = 44.0828, T1 = 0.0284, T2 = 0.0146, T3 = 0.7818, T4 = 1.2816.

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