scholarly journals MPPT Control Strategy of Photovoltaic Cells Based on Duty Cycle Disturbance

2022 ◽  
Vol 2152 (1) ◽  
pp. 012024
Author(s):  
Ting Xu ◽  
Xin Gong ◽  
Longkai Liang
Keyword(s):  
Duty Cycle ◽  
Control Algorithm ◽  
Photovoltaic Cell ◽  
Environment Change ◽  
Photoelectric Conversion ◽  
Point Tracking ◽  
Output Characteristics ◽  
Power Point ◽  
And Control ◽  
Fuzzy Control Algorithm

Abstract Photovoltaic cell is a key part of solar power generation system, and whether its photoelectric conversion is sufficient is also called the maximum power point tracking problem, that is, photovoltaic cell MPPT. Different from the traditional MPPT control algorithm, this paper models and analyzes the output characteristics of solar cell. on this basis, proposes a fuzzy control algorithm based on duty cycle disturbance, and simulates it with MATLAB. The result shows the algorithm can well take into account the tracking speed and control accuracy when the external environment change.

scholarly journals Modeling and Simulation of an Intelligent Photovoltaic Controller Based on Variable Step Algorithm of Versoria

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Bo Sun ◽  
Yongquan You ◽  
Zhiyong Zhang ◽  
Chao Li
Keyword(s):  
Control Algorithm ◽  
Photovoltaic Cells ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Step Algorithm ◽  
Output Characteristics ◽  
Power Point ◽  
Fuzzy Control Algorithm

As a green and renewable energy source, photovoltaic power is of great significance for the sustainable development of energy and has been increasingly exploited. The photovoltaic controller is the key component of a photovoltaic power generation system, and its central technology is the maximum power point tracking technology. In this paper, a mathematical model of photovoltaic cells is firstly established, the output characteristics of photovoltaic cells are analyzed, the main factors that affect the output efficiency of photovoltaic cells are obtained, and it is proved that the most important factor that affects the output power is the light intensity. Therefore, in the design, the maximum power point of the photovoltaic cell is tracked by the control algorithm and can maximize the use of photovoltaic output power fast charging. The key to the design of a photovoltaic controller is the design of control algorithm. So, an improved fuzzy control algorithm is proposed to overcome the shortcomings of the traditional maximum power point tracking (MPPT) algorithm. The algorithm can consider tracking both speed and convergence, but the algorithm requires high input and output fuzzy domain parameters, and although the tracking speed is fast, the stability of convergence is poor. For the limitation of fuzzy control algorithm, considering the property of the Versoria function, an MPPT design method for an intelligent controller based on the Versoria variable step algorithm is further proposed. According to the output characteristics of photovoltaic cells, three parameters, α, β, and γ, are set to solve the tracking speed and tracking stability. In order to reduce the static error, a genetic factor is proposed to sum up the historical error to effectively improve the tracking stability. The simulation results show that the algorithm can track the maximum power point quickly and has good tracking speed and stability. This algorithm can be used in engineering practice effectively.

Photovoltaic Arrays MPPT Based on Improved Incremental Conductance Method

2012 ◽  
Vol 608-609 ◽  
pp. 177-180
Author(s):  
Xuan He ◽  
Wen Yi Li ◽  
Xiu Li ◽  
Li Guo ◽  
Yan Wang ◽  
...  
Keyword(s):  
Photovoltaic Cell ◽  
Characteristic Analysis ◽  
Maximum Power Point ◽  
Advantages And Disadvantages ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Photovoltaic Arrays ◽  
Conductance Method ◽  
Output Characteristics ◽  
Power Point

This paper analyzes advantages and disadvantages of different maximum power point tracking (MPPT) methods based on mathematical model of photovoltaic cell and its characteristic analysis. According to output characteristics of photovoltaic (PV) array, this paper puts forwards an improved increment conductance (INC) method which can improve the efficiency of photovoltaic cell by increasing power tracking speed under the premise of ensuring stability of the system. This method is verified by means of MATLAB/Simulink.

scholarly journals Application of Fuzzy Control in a Photovoltaic Grid-Connected Inverter

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Zhaohong Zheng ◽  
Tianxia Zhang ◽  
Jiaxiang Xue
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Control Method ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Grid Connected Inverter ◽  
Power Point ◽  
Fuzzy Control Algorithm

To realize the maximum power output of a grid-connected inverter, the MPPT (maximum power point tracking) control method is needed. The perturbation and observation (P&O) method can cause the inverter operating point to oscillate near the maximum power. In this paper, the fuzzy control P&O method is proposed, and the fuzzy control algorithm is applied to the disturbance observation method. The simulation results of the P&O method with fuzzy control and the traditional P&O method prove that not only can the new method reduce the power loss caused by inverter oscillation during maximum power point tracking, but also it has the advantage of speed. Inductive loads in the post-grid-connected stage cause grid-connected current distortion. A fuzzy control algorithm is added to the traditional deadbeat grid-connected control method to improve the quality of the system’s grid-connected operation. The fuzzy deadbeat control method is verified by experiments, and the harmonic current of the grid-connected current is less than 3%.

scholarly journals EXTRACT MAXIMUM POWER FROM PV SYSTEM EMPLOYING MPPT WITH FLC CONTROLLER

2019 ◽  
Vol 1 (02) ◽  
pp. 58-71 ◽  
Author(s):  
Chandramouli A
Keyword(s):  
Control Algorithm ◽  
Fuzzy Logic Controller ◽  
Maximum Output Power ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Maximum Output ◽  
Pv System ◽  
Point Tracking ◽  
Power Point ◽  
Fuzzy Control Algorithm

Extract of maximum power from photo voltaic (PV) system employing with fuzzy logic controller (FLC) based MPPT technique is investigated in this article. Fuzzy is a expert supervisory control algorithm system, provides satisfied acceptable results from PV. Maximum/lower power point tracking (MPPT/LPPT) approaches are adopted to get maximum output power from the PV irrespective of variation in its input source (Solar irradiation and temperature). The performance results have been investigated in MATLAB/Simlink package for different conditions. From the simulation results it is evident that proposed fuzzy control algorithm works well compared to the other traditional MPPT techniques.

A Photovoltaic MPPT Strategy by Modified Fuzzy Control

2011 ◽  
Vol 128-129 ◽  
pp. 15-19
Author(s):  
Bo Fu ◽  
Lu Yu ◽  
Qiong Cheng ◽  
Xin Chen Cai ◽  
Xin Xing
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Control Method ◽  
Superior Performance ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Fuzzy Control Algorithm ◽  
Time Delayed Feedback

Maximum Power Point Tracking control method based on traditional fuzzy algorithm has disadvantages of slow response and unstable output. To solve the problems, a modified fuzzy control algorithm by combining the traditional two-dimensional fuzzy control with a time-delayed feedback is proposed. It not only fast responds to the changes in ambient environment but also has good stability. Simulation results show that the proposed algorithm has superior performance to the traditional fuzzy control.

scholarly journals Perancangan maximum power point tracking dengan algoritma incremental conductance untuk PLTS 100 Wp

2021 ◽  
Vol 1 (1) ◽  
pp. 1-8
Author(s):  
Abdullah Assegaf ◽  
Dedi Aming ◽  
Febri Alvianto
Keyword(s):  
Duty Cycle ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Power Point

Efisiensi konversi energi yang rendah menjadi masalah utama padaupembangkit listrikutenagausurya (PLTS). Makalah ini membahas tentang implementasi metode maximum power point tracking (MPPT) dengan algoritma incremental conductance (IC) pada sistem panel surya dengan kapasitas 100 Wattpeak (Wp) yang bertujuan untuk mendapatkan daya keluaran yang paling optimal dari panel surya. Sistem dibangun dengan menggunakan konverter DC/DC buck-boost dan mikrokontroler sebagai pengolah algoritma MPPT serta pusat kendali sistem. Mikrokontroler akan mengontrol duty cycle dari konverter buck-boost dan memastikan bahwa panel surya selalu beroperasi pada kondisi titik daya maksimum dengan menggunakan algoritma IC. Hasil pengujian menunjukkan bahwa penggunaan metode MPPT dengan algoritma IC pada sistem panel surya 100 Wp dapat memaksimalkan daya keluaran dari panel surya sebesar 56%-94% dibandingkan dengan penggunaan panel surya secara langsung tanpa menggunakan MPPT.

scholarly journals Battery Charging Application with Thermoelectric Generators as Energy Harvesters

2019 ◽  
Vol 3 (1) ◽  
pp. 248
Author(s):  
Zakariya M. Dalala ◽  
Zaid S. Hamdan ◽  
Hussein Al-Taani ◽  
Mohammad Al-Addous ◽  
Aiman Albatayneh
Keyword(s):  
Control Algorithm ◽  
Thermoelectric Generator ◽  
Boost Converter ◽  
Constant Current ◽  
Battery Charger ◽  
Power Matching ◽  
Point Tracking ◽  
Battery Chargers ◽  
Charging Current ◽  
Power Point

This paper discusses and presents the implementation of a boost converter as power electronic interface to be used with the thermoelectric generator (TEG). The common application for such system is the battery charger. The boundary conditions for battery chargers include the charging current and battery voltage limits which have to be respected throughout the charging process, while the maximization of the power generated from the TEG is a global target that is desired to be met as much as possible. Coordinated control algorithm that collectively combines these constraints is the main focus of this work. Novel global control algorithm is proposed and verified in this paper with detailed analysis that shows the effectiveness of the proposed algorithm. Dual control loops for the voltage and current of the boost converter will be designed and analyzed to satisfy the source and load demands. Maximum power point tracking (MPPT) mode, power matching mode and voltage stabilization mode will be integrated in the control algorithm of the battery charger. This paper puts a schematic design for a system that harvests energy from a thermoelectric generator bank of a TEG1-12611-6.0 TEG modules in order to charge a battery bank of Samsung ICR18650 Batteries using constant current (CC) and constant voltage (CV) charging profiles.

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