Simulation of Grid Low Frequency Oscillation Based on MATLAB

2014 ◽  
Vol 536-537 ◽  
pp. 1532-1536
Author(s):  
Xin Ke Gou ◽  
Bin Qian ◽  
Run Qing Bai
Keyword(s):  
Power System ◽  
Simulation Model ◽  
Low Frequency ◽  
Power System Stabilizer ◽  
Actual Situation ◽  
Power System Simulation ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Low Frequency Oscillations ◽  
System Stabilizer

This paper describes the generation of low frequency oscillations and suppression methods briefly. Observing a phenomenon of low frequency oscillation of Gansu Grid Power and analysis its actual situation. Therefore, we need establish simplified simulation model in MATLAB environment, then do the simulation with the dual power system simulation model which add to power system stabilizer. Simulation results show that: PSS can solve the problem of low frequency oscillations in a region of Gansu steel caused rapid and effective.

Oppositional Differential Search Algorithm for the Optimal Tuning of Both Single Input and Dual Input Power System Stabilizer

2021 ◽  
pp. 256-282
Author(s):  
Sourav Paul ◽  
Provas Kumar Roy
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Low Frequency ◽  
Input Power ◽  
Power System Stabilizer ◽  
Low Frequency Oscillation ◽  
Interconnected Power System ◽  
Low Frequency Oscillations ◽  
Single Input ◽  
System Stabilizer

Low frequency oscillation has been a major threat in large interconnected power system. These low frequency oscillations curtain the power transfer capability of the line. Power system stabilizer (PSS) helps in diminishing these low frequency oscillations by providing auxiliary control signal to the generator excitation input, thereby restoring stability of the system. In this chapter, the authors have incorporated the concept of oppositional based learning (OBL) along with differential search algorithm (DSA) to solve PSS problem. The proposed technique has been implemented on both single input and dual input PSS, and comparative study has been done to show the supremacy of the proposed techniques. The convergence characteristics as well authenticate the sovereignty of the considered algorithms.

A GPSS Based on Active Power Signal and its Effective Frequency Boundary

2017 ◽  
Author(s):  
Yanghai Li ◽  
Tao Yang
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Active Power ◽  
System Structure ◽  
Power System Stabilizer ◽  
Frequency Range ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Effective Response ◽  
System Stabilizer

Low frequency oscillation is one of the most important factors that restrict the tie-line power flow of network. Its effective suppression is necessary to ensure safety and stability of the power system. The conventional power system stabilizer (PSS) is still insufficient in suppressing consider the frequency range and types of oscillation, so it is necessary to study the auxiliary suppression of the oscillation from the turbine side by using the electro-mechanical coupling theory. In this paper, a governorside power system stabilizer (GPSS) based on active power signal is designed, and its working principle, system structure and parameter setting method are introduced, the effective response frequency boundary of oscillation is also analyzed. Theoretical analysis and simulation results show that this GPSS can suppress in the whole frequency range of low frequency oscillation, and it is suitable as an auxiliary means of low frequency oscillation suppression. (CSPE)

A Self-Tuning Power System Stabilizer Design

2013 ◽  
Vol 385-386 ◽  
pp. 1104-1107
Author(s):  
Ping Chen ◽  
Hui Lan Jiang ◽  
Kai Zeng
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Power System Stabilizer ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Operating Modes ◽  
Prony Algorithm ◽  
Self Tuning ◽  
System Stabilizer ◽  
System Operating

The traditional power system stabilizer (PSS) usually configures parameters in off-line circumstances and can’t adapt to the variations of power system operating modes well. Based on the prony algorithm, this paper presents a parameter self-tuning PSS. After identifying the system reduced model, it recognizes the real-time low frequency oscillation characteristics of system based on the online prony and uses the dominant mode frequency to complete self-tuning parameters of PSS. The simulation results in IEEE 4-11 system show that the self-tuning PSS based on prony algorithm can adapt to the variations of power system operating modes and restrain low frequency oscillation system better, then improve the stability of the system.

Optimal Design of Power System Stabilizer Using a Novel Evolutionary Algorithm

2018 ◽  
Vol 7 (3) ◽  
pp. 24-46
Author(s):  
Sourav Paul ◽  
Provas Roy
Keyword(s):  
Optimal Design ◽  
Power System ◽  
Search Algorithm ◽  
Low Frequency ◽  
Optimal Solution ◽  
Power System Stabilizer ◽  
Low Frequency Oscillation ◽  
Large Power ◽  
Wide Range ◽  
System Stabilizer

In this article, an Oppositional Differential search algorithm (ODSA) is comprehensively developed and successfully applied for the optimal design of power system stabilizer (PSS) parameters which are added to the excitation system to dampen low frequency oscillation as it pertains to large power system. The effectiveness of the proposed method is examined and validated on a single machine infinite bus (SMIB) using the Heffron-Phillips model. The most important advantage of the proposed method is as it reaches toward the optimal solution without the optimal tuning of input parameters of the ODSA algorithm. In order to verify the effectiveness, the simulation was made for a wide range of loading conditions. The simulation results of the proposed ODSA are compared with those obtained by other techniques available in the recent literature to demonstrate the feasibility of the proposed algorithm.

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