Design of an Internet of Things Powered Automated Power Factor Correction System and Monitoring of Consumption of Energy

Monitoring of energy enables easy access and provides information on power use, normal and abnormal circumstances. Many applications today, mainly in the industrial sector, struggle with power quality issues. The power factor is crucial when it comes to power quality. Increased energy efficiency and lower energy expenses can be accomplished with the aid of power factor (PF) modification and monitoring of the consumption of energy. A capacitance is supplemental to counteract power factor deterioration and lessen power loss. In order to monitor a system's energy usage and automatically boost its power factor, this study attempts to develop an Automatic Power Factor Correction (APFC) system and energy monitoring using IoT techniques and develop a mobile application for increased comfort and convenience. An open-source energy monitoring library was designed and implemented for precise power calculations. Using a capacitor bank and Internet of Things (IoT) technologies, this paper conducted hardware experiments for energy monitoring and automated power factor correction concerning various loads and various real-time fluctuating case study-based assessments. The Pure restive load (R Load), series resistive-inductive loads (S-RL Load) and parallel resistive-inductive (P-RL Load) loads were used to validate the performance of the designed hardware model. The outcome demonstrates that the intended Raspberry Pi-based energy monitoring and self-governing power factor correction system excels in enhancing the power quality automatically obligating no human input through appropriate transitioning of the capacitor bank's capacitors. The inductance in this study results in a lag with a power factor of 0.747 and 0761 for the series RL and parallel RL loads, respectively. The recommended strategy connects the capacitor banks according to the inductive load, resulting in a power factor of 0.972 and 0.977 for series RL and parallel RL loads, respectively. The concerns relating to power loss, penalty, and power quality were thus handled using the suggested methodology. The design that has been suggested helps to improve the power system and is small, straightforward, and simple to execute.