Fractional-order Modeling and Control of Power System Stabilizer

2019 ◽  
Author(s):  
Arti V. Tare ◽  
Lakesh D. Mahajan ◽  
Vijay N. Pande ◽  
Vishwesh A. Vyawahare
Keyword(s):  
Power System ◽  
Fractional Order ◽  
Power System Stabilizer ◽  
Modeling And Control ◽  
System Stabilizer ◽  
And Control

Study on the Optimum Location of PSS in Power Systems

2014 ◽  
Vol 1070-1072 ◽  
pp. 892-896
Author(s):  
Fu Xia Wu ◽  
Jian Rong Gong ◽  
Jun Xie ◽  
Ying Jun Wu
Keyword(s):  
Power Systems ◽  
Power System ◽  
Closed Loop ◽  
Power System Stabilizer ◽  
Control Effect ◽  
Factor Method ◽  
System Stabilizer ◽  
And Control ◽  
System Power ◽  
Participation Factor

Power system stabilizer in a power system is a closed-loop controller. The conventional participation factor method just considers the effect of PSS input signal. When the system stress is heavier, it may give misleading results. Based on the participation factor of modal analysis, an integrative participation factor is proposed to determine the optimum PSS location. The integrative participation factor takes into account both the input and control effect of PSS controllers. The case studied in 2-area 4-generator power system power system confirms that the integrative participation factor is more reasonable and effective than the participation factor method.

scholarly journals Model reference self-tuning fractional order PID control based on for a power system stabilizer

2020 ◽  
Vol 11 (3) ◽  
pp. 1333
Author(s):  
M. A. Abdel Ghany ◽  
Mohamed A. Shamseldin
Keyword(s):  
Power System ◽  
Fractional Order ◽  
Optimization Technique ◽  
Power System Stabilizer ◽  
Model Reference ◽  
Self Tuning ◽  
System Stabilizer ◽  
Fractional Order Pid ◽  
Fuzzy Logic Technique ◽  
Operating Points

<p><span lang="EN-US">This paper presents a novel approach of self-tuning for a Modified Fractional Order PID (MFOPID) depends on the Model Reference Adaptive System (MRAS). The proposed self-tuning controller is applied to Power System Stabilizer (PSS). Takaji-Sugeno (TS) fuzzy logic technique is used to construct the MFOPID controller. The objective of MRAS is to update the five parameters of Takaji-Sugeno Modified FOPID (TSMFOPID) controller online. For different operating points of PSS, MRAS is applied to investigate the effectiveness of proposed controllers. The harmony optimization technique used to obtain the optimal parameters of TSMFOPID controllers and MRAS parameters. For different operating points with different disturbance under parameters variations the simulation results are obtained. This is to show that Self-Tuning of TSMFOPID based on (MRAS) have better performance than the fixed parameters TSMOFOPID controller.</span></p>

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