Design of Power System Stabilizer for AL-UMRA Power Plant

1999 ◽  
Vol 12 (1) ◽  
pp. 17-29
Author(s):  
ABDULAZIZ JALAL ◽  
AHMED ABDULWAHAB
Keyword(s):  
Power Plant ◽  
Power System ◽  
Power System Stabilizer ◽  
System Stabilizer

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.

scholarly journals Performance Assessment of Fuzzy Logic Power System Stabilizer on North Benghazi Power Plant

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
T. Hussein ◽  
A. Shamekh
Keyword(s):  
Fuzzy Logic ◽  
Power Plant ◽  
Power System ◽  
Optimization Technique ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Particle Swarm Optimization Technique ◽  
System Output ◽  
System Stabilizer ◽  
One Machine

Fuzzy logic design has been implemented online to tune the power system stabilizer gain (KPSS). To assess the performance of the proposed technique, Benghazi North Power Plant (BNPP), at eastern Libyan network, has been utilized as a power system stabilizer (PSS) benchmark. The design considers different operating conditions and large disturbance. A selection of fuzzy rules is derived by means of system output power to tune KPSS, whereas Particle Swarm Optimization technique (PSO) is exploited to calculate the PSS parameters offline according to real-time measurements of the considered plant. Several simulation scenarios have been conducted to show the effectiveness of the proposed PSS in damping of local and interarea modes of oscillation of one-machine infinite-bus system. The study also contains comparison between the proposed technique and conventional PSS (CPSS).

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