scholarly journals Implementasi Sistem Kendali MPPT Panel Surya Berbasis Algoritma Incremental Conductance

2020 ◽  
Vol 1 (2) ◽  
pp. 218-223
Author(s):  
Muldi Yuhendri ◽  
Gatot Santoso Putra
Keyword(s):  
Control System ◽  
Power Plant ◽  
Output Voltage ◽  
Maximum Power ◽  
Maximum Point ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Incremental Conductance ◽  
Incremental Conductance Algorithm ◽  
Power Point

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

scholarly journals Implementasi MPPT Panel Surya Berbasis Algoritma Perturbasi & Observasi (PO) Menggunakan Arduino

2021 ◽  
Vol 2 (2) ◽  
pp. 162-167
Author(s):  
Haris Masrepol ◽  
Muldi Yuhendri
Keyword(s):  
Control System ◽  
Output Power ◽  
Output Voltage ◽  
Maximum Output Power ◽  
Buck Converter ◽  
Maximum Power ◽  
Maximum Output ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Power Point

Solar panels are a renewable energy power plant that uses sunlight as its main energy source. The power generated by solar panels are determined by the size of the solar panels, solar radiation and temperature. The power of the solar panels is also determined by the output voltage of the solar panels. To get the maximum output power at any time, it is necessary to adjust the output voltage of the solar panel. This study proposes controlling the maximum output power of solar panels, also known as maximum power point tracking (MPPT) by adjusting the output voltage of the solar panels using a buck converter. The buck converter output voltage regulation at the maximum power point of the solar panel is designed with the Perturbation and Observation (PO) algorithm which is implemented using an Arduino Mega 2560. This MPPT control system is applied to 4x50 Watt-Peak (WP) solar panels which are connected in parallel. The experimental results show that the proposed MPPT control system with the PO algorithm has worked well as expected. This can be seen from the output power generated by the solar panels already around the maximum power point at any change in solar radiation and temperature.

Modeling and Analysis of Grid-Connected Inverter for PV Generation

2013 ◽  
Vol 760-762 ◽  
pp. 451-456 ◽  
Author(s):  
Neng Cao ◽  
Ya Jun Cao ◽  
Jiao Yu Liu
Keyword(s):  
Control System ◽  
Power Quality ◽  
High Speed ◽  
Control Algorithm ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Power Point ◽  
Pv Generation

In order to improve the efficiency of photovoltaic generation as well as the power quality, grid-connected inverters for PV generation research was carried out for photovoltaic maximum power point tracking. Based on some current studies on the incremental conductance method, an advanced incremental conductance control algorithm was proposed, which can track maximum power point rapidly and accurately. The oscillation phenomenon, which exists near the maximum power point, was improved at a great extent, so to the efficiency of photovoltaic cells generation electricity. The inverter control system has an advantage in its high speed and flexibility by applying advanced control algorithm. And the source harmonic current is remarkably reduced. In addition, the power factor is enhanced and the power quality is improved. Finally, according to the principle of inverter control system and based on the analysis on the mathematical model of photovoltaic inverter, a simulation model of that is established based on MATLAB/SIMULINK.

A New Engineering Model of Solar Array and MPPT Control

2011 ◽  
Vol 383-390 ◽  
pp. 591-597 ◽  
Author(s):  
Xiao Lei Wang ◽  
Liang Yang ◽  
Pan Yan
Keyword(s):  
Light Intensity ◽  
Output Voltage ◽  
Maximum Power ◽  
Solar Array ◽  
Reference Standard ◽  
Engineering Model ◽  
Maximum Power Point ◽  
Incremental Conductance ◽  
Power Point ◽  
Pursuit Gain

An engineering model of solar array can reflect the real-time output voltage and current, the maximum power point voltage, the maximum power point current and the maximum power point in any light intensity and any temperature of solar arrary. A simulation model is established in Matlab/Simulink and proved the engineering model correctly and reliability. Using the method of Perturbation and Observation (P&O) and Incremental Conductance (INC) track the maximum power point of a solar array under the reference standard of these output elements, and found out the pursuit gain around the reference standard oscillation and further to validate the model's reliability.

scholarly journals Improvement of Self-Predictive Incremental Conductance Algorithm with the Ability to Detect Dynamic Conditions

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1234
Author(s):  
Sanaz Jalali Zand ◽  
Kuo-Hsien Hsia ◽  
Naser Eskandarian ◽  
Saleh Mobayen
Keyword(s):  
Output Power ◽  
Maximum Power ◽  
Step Size ◽  
Maximum Power Point ◽  
Dynamic Conditions ◽  
Simulink Simulation ◽  
Incremental Conductance ◽  
Perturb And Observe ◽  
Incremental Conductance Algorithm ◽  
Power Point

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.

scholarly journals Design and Simulation of a DC Stabilization System for Solar Energy System

2019 ◽  
Vol 35 (2) ◽  
Author(s):  
Pham Thi Viet Huong ◽  
Mac Khuong Duy ◽  
Tran Anh Vu ◽  
Dang Anh Viet ◽  
Minh - Trien Pham
Keyword(s):  
Solar Energy ◽  
Output Voltage ◽  
Clean Energy ◽  
Energy System ◽  
Maximum Power ◽  
Maximum Efficiency ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point

During the last few years, the demand for solar photovoltaic (PV) energy has grown remarkably since it provides electricity from an exhaustible and clean energy source. The generated power of solar panels depends on environment conditions, which changes continuously due to many factors, for example, the radiation, the characteristics of the load, etc. In order for the solar energy system operates at its most efficiency, it needs to work at its maximum power point (MPP). Previous literature has dealt with either investigating Maximum Power Point Tracking (MPPT) algorithms or tracking a steady output voltage from solar panels. However, when the load is changed, the new MPP need to be defined. In this paper, a novel adaptive MPPT system was proposed to investigate the MPP and keep tracking MPP at the same time. The proposed system was implemented in Proteus simulation. As the results, when the load is changing, the system obtained a steady and reliable desired output voltage. It is not only able to obtain a reliable steady DC output voltage but also keep the solar energy system work at its maximum efficiency.

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