scholarly journals System Design of MPPT Incremental Conductance on Zeta Converter Connected Solar Panel

Author(s):  
Jendra Sesoca ◽  
Bambang Siswojo ◽  
Ponco Siwindarto

MPPT Incremental Conductance algorithm has a function to obtain maximum power points on a solar panel. This MPPT Incremental Conductance works based on the P-V curve of the solar panel. In order to obtain better power results, the MPPT Incremental Conductance system will be connected to the zeta converter. The zeta converter is a DC-DC converter that is a development of the SEPIC converter. This converter can also produce good efficiency. In this research will compare the power generated with 2 different methods, solar panels connected with zeta converter without using MPPT Incremental Conductance and solar panels connected zeta converter using MPPT Incremental Conductance. The result of the research obtained is that solar panels connected to zeta converter using MPPT Incremental Conductance can produce better power than not using MPPT Incremental Conductance.

2020 ◽  
Vol 1 (2) ◽  
pp. 218-223
Author(s):  
Muldi Yuhendri ◽  
Gatot Santoso Putra

Solar power plant (PLTS) is a renewable energy power plant that is starting to develop in Indonesia as fossil energy is decreasing as the main energy source for electricity generation. This PLTS works by converting sunlight energy into electrical energy using solar panels. Increasing the efficiency of PLTS can be done by controlling the solar panels at their maximum power point. The maximum power point of the solar panels can be obtained by finding the maximum solar radiation or by controlling the output voltage of the solar panels at the maximum power point using a power converter. This research proposed a maximum power point of solar panels by regulate the output voltage using boost converter, which is also called the maximum power point tracking (MPPT). MPPT control system is proposed using an incremental conductance algorithm which is implemented using Arduino Mega 2560 programmed with Matlab simulink. MPPT control system is designed for four 50 WP solar panels connected in parallel. The experimental results show that the proposed MPPT control system with the incremental conductance algorithm is able to control the output power of the solar panels at the maximum point


Author(s):  
Bharat Khandelwal

Solar energy is a potential energy source in India. A photovoltaic is a efficient way to cure the energy in a huge amount and keep to gather that kind of energy for future, and the PV must have good efficiency. The maximum power point tracking (MPPT) is a process that tracks one maximum power point from array input, in which the ratio varies between the voltage and current delivered to get the most power it can. Several algorithms have been developed for extracting maximum power. To increase its efficiency many MPPT techniques are used. Incremental conductance is one of the important techniques in this system and because of its higher steady-state accuracy and environmental adaptability it is a widely implemented tracked control strategy. This research was aimed to explore the performance of a maximum power point tracking system that implements the Incremental Conductance (IC) method. The IC algorithm was designed to control the duty cycle of the Buck-Boost converter and to ensure the MPPT work at its maximum efficiency. From the simulation, the IC method shows better performance and also has a lower oscillation.


2016 ◽  
Vol 3 (1) ◽  
pp. 9-14 ◽  
Author(s):  
R. Ahiska ◽  
L. Nykyruy ◽  
G. Omer ◽  
G. Mateik

In this study, load characteristics of thermoelectric and photovoltaic solar panels areinvestigated and compared with each other with experiments. Thermoelectric solar panels convertsthe heat generated by sun directly to electricity; while, photovoltaic solar pales converts photonicenergy from sun to electricity. In both types, maximum power can be obtained when the loadresistance is equal to internal resistance. According to experimental results, power generated fromunit surface with thermoelectric panel is 30 times greater than the power generated by photovoltaicpanel. From a panel surface of 1 m2, thermoelectric solar panel has generated 4 kW electric power,while from the same surface, photovoltaic panel has generated 132 W only.


Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1234
Author(s):  
Sanaz Jalali Zand ◽  
Kuo-Hsien Hsia ◽  
Naser Eskandarian ◽  
Saleh Mobayen

This paper presents a new version of the incremental conductance algorithm for more accurate tracking of the maximum power point (MPP). The modified algorithm is called self-predictive incremental conductance (SPInC), and it recognizes the operational region. It is capable of detecting dynamic conditions, and it detects sudden changes in power resulting from changes in the intensity of radiation or temperature. By selecting the appropriate step size, it obtains maximum power from the panel at any moment. The improved algorithm reduces output power ripple and increases the efficiency of the system by detecting the operating area and selecting the appropriate step size for each region. The SPInC algorithm divides the system’s work areas into three operating zones. It calculates the size of the appropriate step changes for each region after identifying the regions, which allows for more accurate tracking of the MPP and increases the system efficiency at a speed equal to the speed of the conventional method. These additional operations did not result in a system slowdown in the tracking maximum power. According to the MATLAB/Simulink simulation results, the SPInC algorithm is more efficient than conventional InC, and the ripple output power is reduced. SPInC is also compared to the improved perturb and observe (P&O) algorithm. In general, SPInC can compete with the popular algorithms that have been recently proposed for MPPT in the other researches.


2021 ◽  
Vol 3 (2) ◽  
pp. 133-140
Author(s):  
Marhaposan Situmorang ◽  
Monika Panjaitan

Solar energy has been considered as a promising renewable energy source for electric power generation. Solar panel systems have become a popular object to be developed by researchers, but the low efficiency of solar panels in energy conversion is one of the weaknesses of this system. Factors that affect the output produced by solar panels are the intensity of sunlight and the working temperature of the solar panels. The solar panel module has a single operating point where the voltage and current outputs produce the maximum power output. There are three main methods in Maximum Power Point Tracking (MPPT), namely conventional methods, artificial intelligence methods, and hybrid methods. In most solar panel systems, this study uses Maximum Power Point Tracking (MPPT) with perturb and observe algorithms to maximize the use of solar energy. The maximum power point extracted by MPPT will be supplied to the battery and controlled by the Charge Controller. The energy stored in the battery will be used by the Thermo Electric Cooler cooling system to reach the desired temperature point using the keypad as temperature input.


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