DocumentCode :
1682218
Title :
A genetic algorithm based approach for improvement in voltage profile and real power loss minimization
Author :
Krost, G. ; Bakare, G.A.
Author_Institution :
Gerhard Mercator Univ., Duisburg, Germany
fYear :
1999
Firstpage :
153
Abstract :
A genetic algorithm (GA) based approach to the optimization of reactive power and voltage profile is presented in this paper. The technical problem is defined as minimization of real power losses by controlling generator terminal voltages, transformer tap positions, and reactors and capacitors as switchable reactive power sources. Constraints such as voltage limits and generator reactive power limits are included in the formulation by using; penalty functions. One drawback of the conventional GA approach is that it can be time intensive. The micro GA was proposed as a more time efficient alternative. The feasibility and the effectiveness of both approaches applied to the problem of reactive power control and voltage profile correction was verified on a 110/25/10 kV municipal power system, represented on an operator training simulator in all physical and operational detail.
Keywords :
computer based training; genetic algorithms; losses; power system control; power system simulation; reactive power control; voltage control; 10 kV; 110 kV; 25 kV; capacitors; generator reactive power limits; generator terminal voltages control; genetic algorithm; municipal power system; operator training simulator; penalty functions; reactive power control; reactive power dispatch; reactive power optimisation; reactors; real power loss minimization; switchable reactive power sources; transformer tap positions; voltage limits; voltage profile correction; voltage profile improvement; voltage profile optimisation; Capacitors; Genetic algorithms; Inductors; Power generation; Power system control; Power system simulation; Power systems; Reactive power; Reactive power control; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
Conference_Location :
Budapest, Hungary
Print_ISBN :
0-7803-5836-8
Type :
conf
DOI :
10.1109/PTC.1999.826584
Filename :
826584
Link To Document :
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