Optimal feedback control design using genetic algorithm in multimachine power system

International Journal of Electrical Power and Energy Systems

Volumn 23, Issue 4, 2001, Pages 263-271

  Robandi, I ^a,b   Nishimori, K ^b   Nishimura, R ^b   Ishihara, N ^b  

^a DEPARTMENT OF ELECTRICAL ENGINEERING   (Indonesia)

^b TOTTORI UNIVERSITY   (Japan)

Author keywords

Genetic algorithm; Optimal control; Power control and stability

Indexed keywords

ERROR ANALYSIS; FEEDBACK CONTROL; GENETIC ALGORITHMS; MATRIX ALGEBRA; OPTIMAL CONTROL SYSTEMS; OPTIMIZATION; POWER CONTROL; SYSTEM STABILITY;

LINEAR QUADRATIC REGULATORS (LQR); TRIAL-AND-ERROR METHOD;

ELECTRIC POWER SYSTEMS;

EID: 0035342069     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0142-0615(00)00062-4     Document Type: Article

References (12)

1. Concepts of synchronous machine stability by excitation control
2. Optimal power system stabilization through excitation and/or governor control
3. Recent trends in linear optimal quadratic multivariable control system design
4. Optimal reactive power planning using evolutionary algorithms: A comparative study for evolutionary, programming evolutionary strategy, genetic algorithm
5. Application of genetic algorithms for control design in power systems
6. Genetic algorithm aided controller design with application to SVC
7. A genetic algorithm modeling framework and solution technique for short term optimal hydrothermal scheduling