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.
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The increasing rate of distributed generation resources expansion into power systems and the random nature of these resources have altered the operation and design of these networks, and reactive power management in distribution networks belongs to this category. The us More
The increasing rate of distributed generation resources expansion into power systems and the random nature of these resources have altered the operation and design of these networks, and reactive power management in distribution networks belongs to this category. The use of these resources in distribution networks is not without challenges and the lack of optimal management of reactive power may not bring economic efficiency for the network. Energy storage systems have the potential to solve this problem. Therefore, in this article, reactive power management in a microgrid connected to the main grid, taking into account distributed generation sources, energy storage systems and discrete reactive power compensating equipment, including capacitor banks, taking into account uncertainty in network load and Wind and solar power generation has been done. Finally, the efficiency of the method is demonstrated by numerical examinations on the distribution networks of 33 and 69 IEEE buses and in the GAMS optimization software.
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