Solar Energy Based Smart Street Lighting System Using Maximum Power Point Tracking Control

Poornima, P. and K.S, Kavitha Kumari. and T, Rahul Das. and T, Ashir Ali. and P, Mohamed Hasib. (2024) Solar Energy Based Smart Street Lighting System Using Maximum Power Point Tracking Control. In: UNSPECIFIED.

Full text not available from this repository.

Abstract

There has been a lot of discussion about how solar energy may power street lighting systems, which could cut down on carbon emissions and energy expenses. Solar irradiation is quite variable, and there are rarely effective control mechanisms to keep solar-powered streetlights from wasting energy. Using energy from solar photovoltaic (PV) cells, this work created light emitting diode (LED)-based streetlights with automatic intensity management. During the day, the light dependent resistor (LDR) detects the amount of light emitted by the environment, and a charge controller circuit regulates the battery's charging process. To monitor the PV panels' maximum power point (MPP) and maintain efficient energy conversion under various sunlight conditions, the controller uses a perturb and observe (P&O) algorithm. This setup uses a PIC16F8 family microcontroller to monitor the solar panel's output, voltage, current, and temperature, among other parameters. During the most hectic hours of day, the streetlights must be maintained on high. A motion detector is included into the system, so it may dynamically change the LED streetlights' brightness depending on what it senses. Because of the critical importance of energy saving in smart city situations, this feature is especially useful for applications using streetlights. © 2024 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science > Information Systems
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai > Electrical & Electronics Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 27 Nov 2025 06:48
URI: https://vmuir.mosys.org/id/eprint/1842

Actions (login required)

View Item
View Item