Title : 
Transient stability constrained optimal power flow solution of ac-dc systems using genetic algorithm
         
        
            Author : 
Kilic, Ulas ; Ayan, Kursat
         
        
            Author_Institution : 
Fac. of Hasan Ferdi Turgutlu Technol., Celal Bayar Univ., Manisa, Turkey
         
        
        
        
        
        
            Abstract : 
Optimal power flow (OPF) is one of the known problems of the power systems. Many numerical and heuristic methods were used to solve this problem so far. As seen from these studies in literature, heuristic methods are more effective and faster than numerical methods. This case is to make more attractive and mandatory the using of heuristic methods in optimal power flow solution of High Voltage Direct Current (HVDC) systems. In this study, transient stability constrained optimal power flow solution of alternating current-direct current (AC-DC) systems is accomplished by using the genetic algorithm (GA) that is one of the heuristic methods for the first time. The proposed approach is tested on modified New England 39-bus test system.
         
        
            Keywords : 
AC-DC power convertors; HVDC power convertors; genetic algorithms; load flow; power system transient stability; AC-DC systems; HVDC systems; New England 39-bus test system; OPF; alternating current-direct current systems; genetic algorithm; heuristic methods; high voltage direct current systems; power systems; transient stability constrained optimal power flow solution; Artificial intelligence; Generators; Load flow; Nickel; Simulation; Transient analysis; HVDC system; Optimal power flow; genetic algorithm; transient stability;
         
        
        
        
            Conference_Titel : 
Electric Power and Energy Conversion Systems (EPECS), 2013 3rd International Conference on
         
        
            Conference_Location : 
Istanbul
         
        
            Print_ISBN : 
978-1-4799-0687-1
         
        
        
            DOI : 
10.1109/EPECS.2013.6712996