Tuning of controllers in power systems using a heuristic-stochastic approach

Keyphrases

• Controller 100%
• Power System 100%
• Controller Tuning 100%
• Stochastic Approach 100%
• Tabu Search 66%
• Non-dominated Sorting Genetic Algorithm (NSGA-II) 66%
• Steady State 66%
• Chile 33%
• Proposed Methodology 33%
• Three-machine 33%
• Power System Stabilizer 33%
• Energy Losses Cost 33%
• Multi-machine Power System 33%
• Interconnected Systems 33%
• Fit Parameters 33%
• Search Criteria 33%
• Busbar System 33%
• Self-sustaining 33%
• Heuristic Method 33%
• Time Disturbance 33%

Engineering

• Power Engineering 100%
• Stochastic Approach 100%
• Non-Dominated Sorting Genetic Algorithm II 66%
• Stabilizer 33%
• Energy Dissipation 33%