Adaptive Load Balancing Algorithms with Fuzzy Logic Techniques

This study presents the design and implementation of an adaptive load balancing using fuzzy logic techniques to address electrical load imbalances in lowvoltage distribution networks. Electrical power quality and system efficiency often deteriorate due to unbalanced loads, leading to increased neutral currents, energy losses, and reduced equipment lifespan. The fuzzy logic approach was chosen due to its effectiveness in modeling non-linear systems and its flexibility in decisionmaking under uncertainty. The system utilizes an ESP32 microcontroller, ACS712 current sensors, a ZMPT101B voltage sensor, and relays to monitor and balance phase loads dynamically. Testing demonstrated that fuzzy logic could effectively reduce phase imbalance, thereby enhancing transformer efficiency and system stability. The result validates fuzzy logic as a viable technique for enhancing the reliability of power distribution systems.