Reactive Power Compensation for Induction Motor Using ANFIS

Induction motors (IM) are commonly used in industrial and residential applications, however running them at a low power factor typically results in energy inefficiencies and higher power losses. This inefficiency is increased by reactive power, which is required to maintain the magnetic field in inductive loads but does not perform any work. Traditional methods of rectifying reactive power can be complex and costly, potentially producing instability. The study provides a new reactive power adjustment system based on fuzzy logic that improves the performance of single-phase induction motors. The method improves the power factor by dynamically monitoring and changing the motor's reactive power in real time, resulting in reduced energy consumption and gearbox losses. The proposed system employs fuzzy logic to provide real-time control of reactive power flow, while the induction motor has a power factor near unity. This strategy reduces power loss, increases system efficiency, and keeps voltage stable. The fuzzy logic controller constantly adapts to changing load conditions, maximizing performance while avoiding the complications of traditional compensating techniques. This fuzzy logic-based system offers a solid, low-cost solution for reactive power control in industrial applications by expediting the compensating process and enhancing energy efficiency. It minimises operational expenses, and energy losses, and increases induction motor performance and stability, making it a perfect solution for industries that value efficiency and sustainability. The results demonstrate a significant improvement in power factor and a reduction in reactive power losses, proving its suitability for industrial applications. This technology dynamically adjusts reactive power to improve power factor, energy efficiency, and system stability.