Design of power system controllers by nonsmooth, nonconvex optimization

2009 ◽  
Author(s):  
Daniel Dotta ◽  
Aguinaldo S. e Silva ◽  
Ildemar C. Decker
Keyword(s):  
Power System ◽  
Nonconvex Optimization ◽  
Nonsmooth Nonconvex Optimization ◽  
Power System Controllers

Robust Electric Power System Controllers Synthesized on the Basis of Linear Matrix Inequalities

2018 ◽  
Vol 10 (10) ◽  
pp. 4-19
Author(s):  
Magomed G. GADZHIYEV ◽  
◽  
Misrikhan Sh. MISRIKHANOV ◽  
Vladimir N. RYABCHENKO ◽  
◽  
...  
Keyword(s):  
Power System ◽  
Electric Power ◽  
Linear Matrix Inequalities ◽  
Electric Power System ◽  
Linear Matrix ◽  
Matrix Inequalities ◽  
Power System Controllers

scholarly journals Professionally important qualities of power system controllers

2010 ◽  
Vol 2010 (4) ◽  
pp. 11-20
Author(s):  
T. A. Yena ◽  
◽  
V. V. Kalnish ◽  
Keyword(s):  
Power System ◽  
Power System Controllers

Coordinated tuning of power system controllers using parallel genetic algorithms

2021 ◽  
Vol 190 ◽  
pp. 106628
Author(s):  
Ruben Dario Kang ◽  
Eustaquio Alcides Martinez ◽  
Enrique Chaparro Viveros
Keyword(s):  
Genetic Algorithms ◽  
Power System ◽  
Parallel Genetic Algorithms ◽  
Power System Controllers

scholarly journals Random perturbation of the projected variable metric method for nonsmooth nonconvex optimization problems with linear constraints

2011 ◽  
Vol 21 (2) ◽  
pp. 317-329 ◽  
Author(s):  
Abdelkrim El Mouatasim ◽  
Rachid Ellaia ◽  
Eduardo de Cursi
Keyword(s):  
Nonconvex Optimization ◽  
Optimization Problems ◽  
Random Perturbation ◽  
Linear Constraints ◽  
Nonconvex Optimization Problems ◽  
Variable Metric ◽  
Lipschitz Continuous ◽  
Nonsmooth Nonconvex Optimization ◽  
Variable Metric Method ◽  
Set Of Points

Random perturbation of the projected variable metric method for nonsmooth nonconvex optimization problems with linear constraintsWe present a random perturbation of the projected variable metric method for solving linearly constrained nonsmooth (i.e., nondifferentiable) nonconvex optimization problems, and we establish the convergence to a global minimum for a locally Lipschitz continuous objective function which may be nondifferentiable on a countable set of points. Numerical results show the effectiveness of the proposed approach.

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