DESIGN AND SIMULATION OF SMART ENERGY MANAGEMENT SYSTEMS FOR ENHANCED POWER QUALITY AND RELIABILITY IN COMPUTER ENGINEERING LABORATORIES
Abstract
This study presents the design and simulation of a , Smart Energy Management System (SEMS) for improving power quality, reliability, and efficiency in computer engineering laboratories. Laboratories housing sensitive equipment often face challenges related to power disturbances and operational sustainability. Using python-based Simulink “matplot”, the SEMS model integrates renewable energy, adaptive load distribution, and real-time monitoring to reduce grid reliance, manage load demand, and enhance energy efficiency. The simulation results show significant improvements, including a 67% reduction in Total Harmonic Distortion (THD) and a 20% decrease in grid energy consumption, aligning with IEEE standards for power quality. Additionally, the SEMS maintained a 99.8% uptime and provided effective battery backup during grid outages. This study highlights the SEMS's potential for enhancing laboratory power management, addressing both operational reliability and sustainable energy goals. Future research is recommended to test the model in real-world settings and explore further enhancements.
Keywords: Harmonic Distortion, power quality, grid energy, Management System, Smart Energy
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