scholarly journals Optimum Design of Damping Controllers Using Modified Sperm Swarm Optimization

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 145592-145604
Author(s):  
Mahdiyeh Eslami ◽  
Behnam Babaei ◽  
Hussain Shareef ◽  
Mohammad Khajehzadeh ◽  
Behdad Arandian
Keyword(s):  
Optimum Design ◽  
Swarm Optimization ◽  
Damping Controllers

PSS with SVC Damping Controllers Coordinated Design and Real-Time Implementation in Multi-Machine Power System Using Advanced Adaptive PSO

2013 ◽  
Vol 14 (5) ◽  
pp. 487-498
Author(s):  
Rajendraprasad Narne ◽  
P.C. Panda
Keyword(s):  
Power System ◽  
Real Time ◽  
Optimization Problem ◽  
Test System ◽  
Swarm Optimization ◽  
Damping Controllers ◽  
Control Schemes ◽  
Controller Performance ◽  
Adaptive Pso ◽  
System Stabilizer

Abstract This article proposed coordinated tuning and real-time implementation of power system stabilizer (PSS) with static var compensator (SVC) in multi-machine power system. The design of proposed coordinated damping controller is formulated as an optimization problem, and the controller gains are optimized instantaneously using advanced adaptive particle swarm optimization. Here, PSS with SVC installed in multi-machine system is examined. The coordinated tuning among the damping controllers is performed on the non-linear power system dynamic model. Finally, the proposed coordinated controller performance is discussed with time-domain simulations. Different loading conditions are employed on the test system to test the robustness of proposed coordinate controller, and the simulation results are compared with four different control schemes. To validate the proposed controller, the test power system is also implemented on real-time (OPAL-RT) simulator, and acceptable results are reported for its verifications.

An Optimum Bending Groove Design of Panel to Minimize Noise Power

Volume 1 ◽  
2004 ◽  
Author(s):  
Jin-Young Jeon ◽  
Masaaki Okuma ◽  
Yusuke Nakura
Keyword(s):  
Optimum Design ◽  
Sound Pressure ◽  
Particle Swarm Optimization Algorithm ◽  
Design Method ◽  
Optimization Method ◽  
Noise Power ◽  
Good Reduction ◽  
Swarm Optimization ◽  
Application Study ◽  
Force Excitation

In this paper, the authors propose a new method for optimum design of bending grooves on vibrating panel-like structures to reduce noise. It is proposed in the method to use the mapping of sound pressure level on the vibrating panel’s surface for best positioning of a bending groove and to apply the particle swarm optimization algorithm (PSOA) for determining the best dimensions of the bending groove. The optimum design method is applied to a rectangular aluminum panel whose size is 0.45×0.4m with thickness 0.001m under the boundary condition of clamping four edge lines. Then, a panel with a bending groove is actually made according to the optimum design, and an experiment is carried out to the panel for verification. The application study is carried out for two cases of different position of a point force excitation on the panel. The two applications demonstrate that the bending grooves designed by the optimization method can realize good reduction of sound power.

scholarly journals Accelerated Particle Swarm for Optimum Design of Frame Structures

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
S. Talatahari ◽  
E. Khalili ◽  
S. M. Alavizadeh
Keyword(s):  
Particle Swarm Optimization ◽  
Convergence Rate ◽  
Optimum Design ◽  
Particle Swarm ◽  
Global Search ◽  
Frame Structure ◽  
Frame Structures ◽  
Swarm Optimization ◽  
Accelerated Particle Swarm Optimization

Accelerated particle swarm optimization (APSO) is developed for finding optimum design of frame structures. APSO shows some extra advantages in convergence for global search. The modifications on standard PSO effectively accelerate the convergence rate of the algorithm and improve the performance of the algorithm in finding better optimum solutions. The performance of the APSO algorithm is also validated by solving two frame structure problems.

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