Design and Implementation of Switched Capacitor Banks Controlled by a Programmable Logic Controller for Power Factor Improvement of Three-Phase Induction Motors

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Amir Hamza
Muhammad Awais
Mohammad Hamza
Faiza Ahmad
Zahid ur Rehman


Industries widely use three-phase inductive loads, such as induction motors, due to their cost-effectiveness, low maintenance, reliability, and durability. However, these loads decrease the power factor, which leads to power wastage, higher billing costs, and penalties from electric power supply companies. To address this issue, a system has been developed that employs a programmable logic controller (PLC) to enhance the power factor of three-phase loads, which reduces the plant's operating costs and lessens the demand for electricity supply from the utility side. The system combines hardware and software components. The software includes logic-based PLC programming that controls the sequence of operations step by step, whereas hardware consists of power and control circuits and protective devices. When an inductive load is added to the system, the PLC reads the input signal from the magnetic contactor's contactor coil connected with the motor and sends an output signal to the corresponding contactor coil of the magnetic contactor to switch the appropriate capacitor bank to enhance the power factor. This paper discusses the experimental results for seven cases utilizing different load combinations with and without the developed system. Thus, energy management requires improving the load's power factor, and the PLC is used as a power factor controller (PFC) for many industrial control applications.


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Article Details

Volume 2 (2023)
Author Biography

Amir Hamza, COMSATS University Islamabad, Wah Campus

I am an electrical engineer focusing on artificial intelligence and renewable energy systems. My expertise lies in implementation, MATLAB, and Python programming, providing me with the technical skills to drive innovation in these fields. Alongside my technical proficiency, I have a track record of demonstrating strong leadership qualities that contribute to project success and foster team growth. I am actively working on fault diagnosis in photovoltaic systems using deep learning approaches, combining my artificial intelligence and renewable energy knowledge to address critical challenges. My passion lies in creating sustainable energy solutions, and I am eager to make a positive impact in electrical engineering.