UPFC controller design for power system stabilization with improved genetic algorithm

2004 ◽  
Author(s):  
S. Morris ◽  
P.K. Dash ◽  
K.P. Basu ◽  
A.M. Sharaf
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Controller Design ◽  
Improved Genetic Algorithm

scholarly journals Improved Genetic Algorithm Tuning Controller Design for Autonomous Hovercraft

Processes ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 66 ◽  
Author(s):  
Huu Khoa Tran ◽  
Hoang Hai Son ◽  
Phan Van Duc ◽  
Tran Thanh Trang ◽  
Hoang-Nam Nguyen
Keyword(s):  
Genetic Algorithm ◽  
Controller Design ◽  
Fitness Function ◽  
Tracking Error ◽  
Biological Evolution ◽  
Operation Time ◽  
Design Criterion ◽  
Improved Genetic Algorithm ◽  
Fuzzy Pid Control ◽  
Speed Up

By mimicking the biological evolution process, genetic algorithm (GA) methodology has the advantages of creating and updating new elite parameters for optimization processes, especially in controller design technique. In this paper, a GA improvement that can speed up convergence and save operation time by neglecting chromosome decoding step is proposed to find the optimized fuzzy-proportional-integral-derivative (fuzzy-PID) control parameters. Due to minimizing tracking error of the controller design criterion, the fitness function integral of square error (ISE) was employed to utilize the advantages of the modified GA. The proposed method was then applied to a novel autonomous hovercraft motion model to display the superiority to the standard GA.

APPLICATION OF GENETIC ALGORITHM FOR PSS AND FACTS-BASED CONTROLLER DESIGN

2008 ◽  
Vol 05 (04) ◽  
pp. 607-620 ◽  
Author(s):  
SIDHARTHA PANDA ◽  
NARAYANA PRASAD PADHY
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Controller Design ◽  
Optimization Technique ◽  
System Stability ◽  
Nonlinear Simulation ◽  
Flexible Ac Transmission ◽  
Flexible Ac Transmission System ◽  
System Stabilizer ◽  
Ac Transmission

This paper investigates the application of genetic algorithm (GA) for the design of a power system stabilizer (PSS) and a flexible ac transmission system (FACTS)–based controller to enhance power system stability. The design problem of the proposed controllers is formulated as an optimization problem and the GA optimization technique is employed to search for optimal controller parameters. The proposed controllers are tested on a weakly connected power system under various disturbances and loading conditions, and compared with a conventional PSS (CPSS). The eigenvalue analysis and nonlinear simulation results show the effectiveness and robustness of the proposed controllers.

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