Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This project presents the design and implementation of a Hybrid Energy Source Switching and Load Prioritization System using an ESP32 microcontroller. The system monitors multiple power sources, including solar, battery, and grid supply, using DC voltage sensors and an INA219 current sensor. The measured parameters such as solar voltage, battery voltage, grid voltage, and load current are continuously displayed on an LCD for real-time monitoring. Based on the available voltage levels, the system intelligently selects the power source using relay-based switching, giving highest priority to solar energy, followed by battery, and finally grid power. This ensures optimal utilization of renewable energy and reduces dependency on conventional electricity sources.
Keywords:
HYBRID SOLAR POWER SYSTEM WITH AUTO SWITCHING ANG LOAD MANAGEMENT
Cite Article:
"HYBRID SOLAR POWER SYSTEM WITH AUTO SWITCHING ANG LOAD MANAGEMENT", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b31-b35, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604139.pdf
Downloads:
00077
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator