An Efficient Power Factor Maximization Model with Buk-Boost Converter in Power Systems

Associate Professor, Department of CS & IT, Kalinga University, Naya Raipur, Chhattisgarh, India .

^* ku.priyavij@kalingauniversity.ac.in
^** ku.kamleshkumaryadav@kalingauniversity.ac.in

Abstract

The problem of power management in power systems has been well studied. There exist number of approaches towards power handling which consider input voltage, residual voltage in different capacitors and uses different converters to maximize the output voltage. However, the methods suffer to achieve higher performance in voltage stabilization in power systems. To handle this issue, an efficient buck boost converter based power factor maximization model (BBC-PFM) is presented in this paper. The model fabricated with k number of buck boost converter in serial. According to the design, the method generates voltage ensemble where each has different voltage slots and values. A slot in voltage ensemble represents the residual voltage in specific converter. Accordingly, there will be number of ensembles will be generate based on the switching conditions. Generated voltage ensembles are used to perform circuit selection and based on that a small set of converters are triggered to discharge the voltage to support power system, where rest of them are triggered to get charged. The selection of converter is performed by computing Power Factor Maximization Support (PFMS) which is being measured based on the voltage in inductor, capacitor present in any ensemble with the input voltage. The proposed method improves the performance of power factor maximization with less voltage loss.