A Multi Objective Hybrid Differential Evolution Algorithm assisted Genetic Algorithm Approach for Optimal Reactive Power and Voltage Control

To provide a quality and secured power supply in all the load centres is a challenging task. Due to the increase in load and various emergency conditions the voltage level in load centres may vary beyond the acceptable level which leads to voltage collapse and increase the system losses. To maintain the voltage levels within the acceptable range in all load centres reactive power support is very essential. The control centres has to provide the optimal reactive power where ever necessary to prevent these critical situations. To provide the controllable amount of reactive power and voltage in the needy region efficient power flow analysis are required. Many traditional methods are available but it has limitations and converged in poor optimal solution. In this paper an effective hybrid Differential Evolution Algorithm assisted Genetic Algorithm approach with multi objective functions are considered. In this approach the best features of Differential Evolution Algorithm and Genetic Algorithm are combined together and developed. In IEEE 30bus the effectiveness and the superiority of this method is verified. [email protected] Keyword-Newton Raphson Power Flow, Genetic Algorithm, Differential Evolution, Volt Ampere Reactive, Voltage Stability Index