SMART ENERGY MANAGEMENT SYSTEM FOR HIGH-CONSUMPTION HOUSEHOLDS USING RASPBERRY PI AND HYBRID INVERTER
Keywords:
Raspberry Pi, Smart Energy Management, Hybrid Inverter, Solar Battery Storage, Grid Electricity, Peak Hour Pricing, Home Automation, Relay Control, Energy MonitoringAbstract
This paper introduces the design and implementation of a hardware-based smart energy management system which is designed for high load residential houses with solar panels, battery storage, and hybrid inverter. Using a Raspberry Pi microcomputer the system monitors household consumption and electricity prices in real time, automatically switching from solar battery power in peak periods to grid power when tariffs are lower. The hybrid inverter makes it possible to export excess power to the grid, while also supplying emergency power in the event of grid failure. The system is made up of voltage and current sensors, relay control modules, and a backend service which gathers and retrieves peak hour tariff data. Simulation results confirm that electricity cost can be significantly decreased and the system efficiency can be advanced.
References
Solomon, I.D., Olalekan, P., & Monsuru, A. (2021). Smart Energy Management System for Homes.
Barbato, A., Capone, A., Chen, L., Martignon, F., & Paris, S. (2014). A distributed demand-side management framework for the smart grid. IEEE Transactions on Industrial Informatics, 10(4), 2385–2393.
Dinh, H. T., & Kim, D. (2020). An optimal energy-saving home energy management supporting user comfort and electricity selling with different prices. Energy Reports, 6, 266–277.
Hof, M. (2024). Deye hybrid inverter web interface. International Journal of Renewable Energy Systems, 15(2), 110–117.
Hof, M. (2024). Deye Hybrid Inverter Web Interface.
Tajjour, S., & Chandel, S.S. (2023). Experimental investigation of a novel smart energy management system for performance enhancement of conventional solar photovoltaic microgrids.
Théate, T., Sutera, A., & Ernst, D. (2023). Matching of Everyday Power Supply and Demand with Dynamic Pricing: Problem Formalisation and Conceptual Analysis.
Dinh, H.T., & Kim, D. (2020). An Optimal Energy-Saving Home Energy Management Supporting User Comfort and Electricity Selling with Different Prices.
Barbato, A., Capone, A., Chen, L., Martignon, F., & Paris, S. (2014). A Distributed Demand-Side Management Framework for the Smart Grid.
Khan, I., Mahmood, A., Javaid, N., Razzaq, S., Khan, R.D., & Ilahi, M. (2013). Home Energy Management Systems in Future Smart Grids.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Abdumalikov Akmaljon Abduxoliq ugli, Sherbaev Javokhir Ravshan ugli

This work is licensed under a Creative Commons Attribution 4.0 International License.