Abstract
This paper presents new improvements and real result of a stand-alone photovoltaic power system for LED lighting that was developed previously. The actual system, during day, charges a lead acid battery using MPPT algorithm for power transfer optimization, and, during night, it supervises battery discharge and controls the current in the power LED array. The improvements are in hardware and software. The hardware was simplified using only one DC/DC converter and only one microcontroller making it more efficient. The system board uses an ATMEL ATTINY861V microcontroller, a single-ended primary inductance converter (SEPIC), and sensors to read input and output voltages and currents to control all system. The software improvements are made in the battery charging algorithm, battery discharging algorithm, and in current control of the power LED array adjusting the light intensity. Moreover, results are presented showing the balance of energy in a period of 24 hours: first results of the MPPT algorithm in bulk battery charge phase and then the over battery charge phase, both in a sunny day. The power LED current control results are also presented showing a very small error. It turns off at 00 : 00 at each day to reduce the waste of energy. Finally, the balance of energy is studied and presented to help the right projection of the PV power panel needed and the necessary battery capacity.
Highlights
The use of stand-alone photovoltaic lighting system has increased in remote rural areas and in towns
The practical experimental PV lighting system consists of a 30 W PV panel, 12 V 20 Ah valve regulated lead-acid (VRLA) CSB battery, a 19 W high white powered light emitting diodes (PLEDs) array, and the microcontroller board with the necessary electronics
The maximum available PV power is transferred to the battery stack, according to the maximum power point tracker (MPPT) algorithm
Summary
This paper presents new improvements and real result of a stand-alone photovoltaic power system for LED lighting that was developed previously. The actual system, during day, charges a lead acid battery using MPPT algorithm for power transfer optimization, and, during night, it supervises battery discharge and controls the current in the power LED array. The software improvements are made in the battery charging algorithm, battery discharging algorithm, and in current control of the power LED array adjusting the light intensity. Results are presented showing the balance of energy in a period of 24 hours: first results of the MPPT algorithm in bulk battery charge phase and the over battery charge phase, both in a sunny day. The power LED current control results are presented showing a very small error It turns off at 00 : 00 at each day to reduce the waste of energy. The balance of energy is studied and presented to help the right projection of the PV power panel needed and the necessary battery capacity
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