Title :
Optimal Reactive Power Planning Using Genetic Algorithm
Author :
Chen, Chao-Rong ; Lee, Hang-Sheng ; Tsai, Wenta
Author_Institution :
Nat. Taipei Univ. of Technol., Taipei
Abstract :
This paper is proposed an optimal shunt capacitor planning of a transmission system using genetic algorithm. The genetic algorithm is used to And optimal shunt capacitor single unit capacity of various voltages rank and the install positions for peak power system and control the bus voltage to the reasonable range. The genetic algorithm has the advantages of simply, easy to access, and fast. In reactive power dispatch, the goal we defined is the 1.0 p.u. of bus voltage. In order to reach the goal, the penalty factors are used for fitness function. Simulation results show that the proposed algorithm obtains the good performances on the power system reactive dispatch and planning.
Keywords :
capacitors; genetic algorithms; power system control; reactive power control; voltage control; bus voltage control; genetic algorithm; optimal reactive power planning; optimal shunt capacitor single unit capacity; peak power system; transmission system; Capacitors; Control systems; Genetic algorithms; Optimal control; Power system control; Power system planning; Power system simulation; Power systems; Reactive power; Voltage control; Genetic algorithm; optimal reactive power planning; shunt capacitor; single unit amount;
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
DOI :
10.1109/ICSMC.2006.385146