SMART MICROGRID ENENRGY MANAGEMENT SYSTEM

Authors

  • T Vijay Kumar, K Ranjith Kumar Reddy, J Mahendar Goud, M Vishnu, R Upendhar Author

DOI:

https://doi.org/10.64751/6fkr6r40

Abstract

The Smart Microgrid Energy Management System is an intelligent energy management solution designed to monitor, control, and optimize power generation and consumption within a microgrid. A microgrid can integrate renewable energy sources such as solar photovoltaic (PV) systems, battery energy storage, the main utility grid, and electrical loads. Efficient coordination of these sources is essential for reducing energy wastage, improving reliability, and maximizing the use of renewable energy. The proposed system continuously monitors electrical parameters such as voltage, current, power, energy consumption, solar generation, and battery status using suitable sensors and a microcontroller or energy management controller. The collected data is analyzed to determine the availability of renewable energy and the current load demand. Based on these conditions, the system automatically manages the flow of power between renewable sources, battery storage, the utility grid, and connected loads. When sufficient solar energy is available, the system prioritizes renewable power for supplying the loads and charging the battery. When renewable generation is insufficient, stored battery energy or grid power can be utilized. The system can also manage non-critical loads during high-demand periods to maintain energy balance and reduce unnecessary consumption. An IoT-based monitoring system can be integrated to provide real-time visualization of energy generation, consumption, battery status, and grid usage. This enables users to monitor and analyze the microgrid remotely. The system improves energy utilization, supports renewable integration, and provides better control over electrical loads.

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Published

2026-09-06

How to Cite

T Vijay Kumar, K Ranjith Kumar Reddy, J Mahendar Goud, M Vishnu, R Upendhar. (2026). SMART MICROGRID ENENRGY MANAGEMENT SYSTEM. International Journal of AI Electrical Civil and Mechanical Engineering, 2(3), 598-606. https://doi.org/10.64751/6fkr6r40