Reducing the Cost of Electricity Charge Using Intelligent Synchronous Capacitor Bank: Fuzzy Logic Approach
Authors: Ngang Bassey Ngang, Amana, Anthony Lordson, Kevin Ikechukwu Ugwu, Jonathan Ndubuisi Okonkwo
Journal: International Journal of Engineering and Environmental Sciences (IJEES), ISSN 1694-4372
Citation: IJEES 7(2): 34-47, 2024-07-17.
DOI: 10.5281/zenodo.12761359
PDF: Download full-text PDF
Type: Original Research
Abstract
Improving energy efficiency and reducing electricity costs in industrial settings necessitate power factor enhancement . This study explores using an intelligent synchronous capacitor bank controlled by a fuzzy logic system to optimize power factor in a factory. The fuzzy logic technique ensures adaptive and efficient control of the capacitor bank, providing optimal power factor correction across various load scenarios. The results highlight the potential of fuzzy logic systems in industrial power management, demonstrating significant cost savings and improved power quality. Persistent financial waste in some estates is due to power factors below the 0.78 to 1 threshold, often caused by high current-drawing electrical loads. Implementing an intelligent synchronous capacitor bank can address this issue, enhancing power factor and reducing power costs. Key steps include characterizing estate power usage, developing a synchronous rule base, training an ANN, creating an algorithm, and validating improvements with a SIMULINK model. The system integration reduces building electricity costs from N1500 to N471 and improves its power factor from 0.954 to 0.992. Building power factor increases from 0.86. to 0.99, with a cost reduction from N2300 to N2255.
Keywords
Improving the Cost of Electricity Charge, Intelligent Synchronous Capacitor Bank, Fuzzy Logic Approach, Power Factor Enhancement
Full Text
Improving energy efficiency and reducing electricity costs in industrial settings necessitate power factor enhancement . This study explores using an intelligent synchronous capacitor bank controlled by a fuzzy logic system to optimize power factor in a factory. The fuzzy logic technique ensures adaptive and efficient control of the capacitor bank, providing optimal power factor correction across various load scenarios. The results highlight the potential of fuzzy logic systems in industrial power management, demonstrating significant cost savings and improved power quality. Persistent financial waste in some estates is due to power factors below the 0.78 to 1 threshold, often caused by high current-drawing electrical loads. Implementing an intelligent synchronous capacitor bank can address this issue, enhancing power factor and reducing power costs. Key steps include characterizing estate power usage, developing a synchronous rule base, training an ANN, creating an algorithm, and validating improvements with a SIMULINK model. The system integration reduces building electricity costs from N1500 to N471 and improves its power factor from 0.954 to 0.992. Building power factor increases from 0.86. to 0.99, with a cost reduction from N2300 to N2255.