Coordinated Design of Power System Stabilizer with FACTS Based Damping Control by Using Gravitational Search Algorithm

2014 ◽  
Vol 3 (4) ◽  
pp. 235-247 ◽  
Author(s):  
Sangram Keshori Mohapatra ◽  
Sidhartha Panda
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Power System Stabilizer ◽  
Damping Control ◽  
Gravitational Search ◽  
System Stabilizer

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.

scholarly journals Modified SCA algorithm for SSSC damping Controller design in Power System

2017 ◽  
Vol 16 (1) ◽  
pp. 46-63 ◽  
Author(s):  
Bidyadhar Rout ◽  
B.B. Pati ◽  
S. Panda
Keyword(s):  
Power System ◽  
Transient Stability ◽  
Controller Design ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Differential Evolution Algorithm ◽  
Operating Conditions ◽  
Bench Mark ◽  
Single Machine Infinite Bus ◽  
System Stabilizer

This paper studies the improvement of transient stability of a single-Machine Infinite-Bus (SMIB) power system using Proportional Derivative (PD) type Static Synchronous Series Compensator (SSSC) and damping controllers. The design problem has been considered as optimisation problem and a modified version of recently proposed Sine Cosine Algorithm (SCA) has been employed for determining the optimal controller parameters. Proposed modified SCA (mSCA) algorithm is first tested using bench mark test functions and compared with SCA, and other heuristic evolutionary optimization algorithms like Grey Wolf optimization (GWO), Particle Swarm optimization (PSO), Gravitational Search algorithm (GSA) and Differential Evolution algorithm to show its superiority. The proposed mSCA algorithm is then applied to optimize simultaneously the PD type lead lag controller parameters pertaining to SSSC and power system stabilizer(PSS). The proposed controller provides sufficient damping for power system oscillation in different operating conditions and disturbances. Results analysis reveal that proposed mSCA technique provides higher effectiveness and robustness in damping oscillations of the power system and increases the dynamic stability more.

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.

scholarly journals Optimal Tuning of Multimachine Power System Stabilizer using Cuckoo Search Algorithm

2015 ◽  
Vol 48 (30) ◽  
pp. 143-148 ◽  
Author(s):  
Dhanraj Chitara ◽  
Anil Swarnkar ◽  
Nikhil Gupta ◽  
K.R. Niazi ◽  
R.C. Bansal
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Power System Stabilizer ◽  
Optimal Tuning ◽  
System Stabilizer
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