The presence of uncertain parameters in the power system has created many challenges for designers andoperators of the system including the problem of capacitors in the presence of wind power plants. The answer depends on the amount of load and output power of the wind More
The presence of uncertain parameters in the power system has created many challenges for designers andoperators of the system including the problem of capacitors in the presence of wind power plants. The answer depends on the amount of load and output power of the wind power plant that has uncertain values. In this paper, the information gap based decision theory method is used model the uncertainty in load and output power of the wind power plant. The objective function includes the cost of capacitive banks and energy losses, used to of load
Flow based on unscented transformation for calculate energy losses. A genetic algorithm is used to optimize the above problem. Finally, the efficiency of the proposed method has been investigated by carrying out numerical studies on the IEEE 33-bus network.
Manuscript profile
