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.

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.

Optimal Parameters Tuning of Power System Stabilizer via Bees Algorithm

2015 ◽  
Vol 781 ◽  
pp. 397-401
Author(s):  
Nur Safura Ab Khalid ◽  
Mohd Wazir Mustafa ◽  
Rasyidah Mohamed Idris
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Optimization Methods ◽  
System Stability ◽  
Bees Algorithm ◽  
Power System Stabilizer ◽  
Low Frequency Oscillation ◽  
New Approach ◽  
Parameters Tuning ◽  
System Stabilizer

This paper presents a new approach for designing the Power System Stabilizer. As in power system network, low frequency oscillation always occurs for a long period of time that will decrease the power transfer capability. Power System Stabilizer known as PSS is being installed as one of the control devices in a generating unit. The conventional PSS (CPSS) is the most commonly used in power system, which uses lead-lag compensation. The lack in CPSS has drawn an interest of designing the new approach of PSS to outperform the conventional one. Thus, Bees Algorithm (BA) which is known as one of the numerous intelligent optimization methods is proposed in this paper. It is appears to aid the system stability by optimizing the PSS parameters tuning. The PSS with the BA approach is labelled as BA-PSS and being tested on single machine infinite bus system (SMIB) in Matlab/Simulink environment. BA-PSS performance is compared with CPSS as to validate the ability of the proposed method to achieve great performance in power system stability enhancement. Different type of mechanical input is being injected into the system and the result shows that BA-PSS is capable to optimize the parameters tuning of PSS. BA-PSS also improved the unstable or poorly stable modes as the system achieve the stability with lower overshoot and less time settling. The superior response of BA-PSS controller proved the ability of BA approach in which is capable to solve the lack in CPSS with better performance in enhancing the system stability.

Robust design of power system stabilizer using bacterial foraging algorithm

2013 ◽  
Vol 62 (1) ◽  
pp. 141-152 ◽  
Author(s):  
K. Abdul Hameed ◽  
S. Palani
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Bacterial Foraging ◽  
Wide Range ◽  
Bacterial Foraging Algorithm ◽  
Simulation Results ◽  
The Time Domain ◽  
System Stabilizer

Abstract In this paper, a novel bacterial foraging algorithm (BFA) based approach for robust and optimal design of PID controller connected to power system stabilizer (PSS) is proposed for damping low frequency power oscillations of a single machine infinite bus bar (SMIB) power system. This paper attempts to optimize three parameters (Kp, Ki, Kd) of PID-PSS based on foraging behaviour of Escherichia coli bacteria in human intestine. The problem of robustly selecting the parameters of the power system stabilizer is converted to an optimization problem which is solved by a bacterial foraging algorithm with a carefully selected objective function. The eigenvalue analysis and the simulation results obtained for internal and external disturbances for a wide range of operating conditions show the effectiveness and robustness of the proposed BFAPSS. Further, the time domain simulation results when compared with those obtained using conventional PSS and Genetic Algorithm (GA) based PSS show the superiority of the proposed design.

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.

Designing of power system stabilizer based on neural-like P systems

2019 ◽  
Vol 234 (2) ◽  
pp. 199-210 ◽  
Author(s):  
Meng Li ◽  
Yong Chen
Keyword(s):  
Power System ◽  
Damping Ratio ◽  
Low Frequency ◽  
P Systems ◽  
Power System Stabilizer ◽  
Low Frequency Oscillation ◽  
Power System Stabilizers ◽  
Operation Rules ◽  
Optimal Power ◽  
System Stabilizer

Power system stabilizers play an important role in reducing the low-frequency oscillation. In this article, the problem of robustly selecting the parameters of the power system stabilizers is studied. A new neural-like P systems optimization algorithm is proposed in order to optimize the power system stabilizer parameters. First, the structure of the neural-like P systems is established. Then, the operation rules, including forgetting rule, spiking rule, evolving rule, and transferring rule, are designed. Furthermore, a new objective function is constructed on the eigenvalues and damping ratio. Finally, the proposed algorithm is tested on the 16-machine and 68-bus system. The simulation results show the effectiveness and robustness of the proposed methods to select the optimal power system stabilizer parameters for damping out the low f oscillation.

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)

Sign in / Sign up

Export Citation Format

Share Document