scholarly journals PSO Based PI Controller Design for a Solar Charger System

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Her-Terng Yau ◽  
Chih-Jer Lin ◽  
Qin-Cheng Liang
Keyword(s):  
Boost Converter ◽  
Buck Converter ◽  
Maximum Power ◽  
Constant Current ◽  
Variable Step Size ◽  
Maximum Power Point ◽  
Charge Control ◽  
Charging System ◽  
Conductance Method ◽  
Power Point

Due to global energy crisis and severe environmental pollution, the photovoltaic (PV) system has become one of the most important renewable energy sources. Many previous studies on solar charger integrated system only focus on load charge control or switching Maximum Power Point Tracking (MPPT) and charge control modes. This study used two-stage system, which allows the overall portable solar energy charging system to implement MPPT and optimal charge control of Li-ion battery simultaneously. First, this study designs a DC/DC boost converter of solar power generation, which uses variable step size incremental conductance method (VSINC) to enable the solar cell to track the maximum power point at any time. The voltage was exported from the DC/DC boost converter to the DC/DC buck converter, so that the voltage dropped to proper voltage for charging the battery. The charging system uses constant current/constant voltage (CC/CV) method to charge the lithium battery. In order to obtain the optimum PI charge controller parameters, this study used intelligent algorithm to determine the optimum parameters. According to the simulation and experimental results, the control parameters resulted from PSO have better performance than genetic algorithms (GAs).

Research on a Photovoltaic Generating System Based on High Step-Up Ratio Boost Converter

2013 ◽  
Vol 694-697 ◽  
pp. 2933-2937
Author(s):  
Ji Ying Shi ◽  
Zi Man Wang
Keyword(s):  
Boost Converter ◽  
Maximum Power ◽  
Duty Ratio ◽  
Variable Step Size ◽  
Step Size ◽  
Maximum Power Point ◽  
Photovoltaic Array ◽  
Interleaved Boost Converter ◽  
Power Point ◽  
Generating System

In order to improve the performance of photovoltaic generating system, an improved interleaved boost converter was used as Maximum Power Point Tracker (MPPT) to match the power with the load. Compared with the traditional boost converter, the advantage of improved interleaved boost converter is high step-up ratio, low input ripple current and improved reliability. Based on this topology, the MPPT control strategy of variable step size perturbation and observation (P&O) method is adopted, photovoltaic array can track the maximum power point by adjusting PWM duty ratio of the boost converter. The simulation results certify the correctness of theoretical analysis.

A New Scheme Based on Climbing Method for Maximum Photovoltaic Power Tracking Control

2014 ◽  
Vol 707 ◽  
pp. 377-380
Author(s):  
Bo Qiang Xu ◽  
Jin Bo Li
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Variable Step Size ◽  
Step Size ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Photovoltaic Arrays ◽  
Conductance Method ◽  
Power Point

The maximum power point tracking (MPPT) of photovoltaic arrays can increase the output power of the photovoltaic systerm, improve the utilization of solar energy. This paper describes the output characteristics of the photovoltaic arrays and the principle of maximum power point tracking,then,based on Incremental conductance method, proposes a sub-type of the variable step size MPPT algorithm. simulated using MATLAB/Simulink, the final results show that the proposed algorithm is able to quickly track the maximum power point and power concussion problem has been significantly improved.

Perancangan dan Realisasi Buck & Boost Converter Menggunakan Algoritma Maximum Power Point Tracker dengan Kontrol Fuzzy Logic pada Pembangkit Listrik Tenaga Surya

2020 ◽  
Vol 4 (1) ◽  
pp. 30
Author(s):  
Ayu Maulidiyah ◽  
Andriani Parastiwi ◽  
Denda Dewatama
Keyword(s):  
Fuzzy Logic ◽  
Boost Converter ◽  
Buck Converter ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Maximum Power Point Tracker ◽  
Power Point

Pembangkit Listrik Tenaga Surya (PLTS) adalahsalah satu energi yang sedang dikembangkan saat ini olehPemerintah Indonesia karena merupakan Negara tropis,Indonesia memiliki potensi energi surya yang cukup besar.Berdasarkan data penyinaran matahari yang telah dihimpundari 18 lokasi di Indonesia, radiasi surya pada daerah Indonesiabagian barat yaitu sebesar 4.5 kWh/m2 /hari sedangkan padadaerah Indonesia bagian timur yaitu sebesar 5.1 kWh/m2 /hari.Nilai ini merupakan potensi besar yang dapat dimanfaatkanoleh masyarakat. Salah satu pemanfaatan energi surya tersebutterdapat pada charge controller yang merupakan sebuahcharge untuk menstabilkan tegangan hasil keluaran panel suryasehingga dapat melakukan pengisian yang optimum terhadapbaterai agar nantinya dapat digunakan untuk beban DC maupunbeban AC. Buck Boost Converter digunakan sebagai topologiconverter dalam charge controller dengan kontrol fuzzy logicTsukamoto sehingga tegangan output dapat bekerja sesuaiPWM yang telah diatur. Hasil dari fuzzy dapat membuktikanbahwa tegangan keluaran berada pada range yang sesuai.Dutycycle yang digunakan untuk buck converter berkisarantara 28%-94% sedangkan untuk boost converter berkisarantara 48%-87% agar dapat menghasilkan tegangan stabil 14.2volt dengan nilai error dutycycle yang dihasilkan rata-ratasebesar 1%.

Fuzzy logic controller-based boost and buck-boost converter for maximum power point tracking in solar system

2020 ◽  
pp. 014233122093821
Author(s):  
A Rajavel ◽  
N Rathina Prabha
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Boost Converter ◽  
Buck Converter ◽  
Solar Panel ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Due to the concern with energy emergencies, the energy obtained from the sunlight is considered as the most capable conventional resources. Hence, the maximum power point tracking approach is necessary for obtaining the enhanced efficiency from the solar panels. In the case of direct current (DC) application, the output obtained from the photo-voltaic (PV) array cannot be directly connected to the electronic devices. For regulating the output from the PV array, the DC-DC converter is provided in between the load and the array. The converter design plays a significant role to track the maximum power point of the solar panel. This paper describes the design of three converters, namely the boost, buck-boost and buck converter, along with the fuzzy logic controller. It varies the time for switching ON and OFF of the converter concerning changes in the solar panel power. The result of converter power and solar panel for different irradiation is compared for various DC-DC converters. The fuzzy logic controller is employed in the generation of optimal control pulse for the DC-DC converter. Moreover, in the solar photovoltaic system, the steady-state operation is performed and the various solar irradiance results are analyzed. The proposed approach is compared with the various DC-DC converters like buck-boost converter, buck converter and boost converter to prove the efficiency. Then, the performance analysis of the current, voltage and power of PV is analyzed.

scholarly journals Recursive Bit Assignment With Neural Reference Adaptive Step (RNA) MPPT Algorithm for Photoviolatic System

2021 ◽  
Author(s):  
Eman Hegazy ◽  
Mona Shokair ◽  
waleed saad
Keyword(s):  
Neural Network ◽  
Boost Converter ◽  
Maximum Power ◽  
Duty Ratio ◽  
Variable Step Size ◽  
Maximum Output ◽  
Step Size ◽  
Maximum Power Point ◽  
Variable Step ◽  
Power Point

Abstract BackgroundNowadays, most of the recent research is directed towards photovoltaic harvesting systems due to their great characteristics. To increase the efficiency of a photoviolatic harvesting system, Maximum Power Point Tracking algorithms are utilized to achieve the maximum output power of the PV. This is done by optimizing the duty ratio of the DC-DC boost converter. ResultsIn this paper, a proposed RNA algorithm is introduced as an efficient MPPT algorithm for the PV system. This proposed RNA algorithm depends on two main parts. The First part is an artificial neural network to produce a reference power. The Second one is a proposed Recursive Bit Assignment network to present the variable step size of the duty ratio of the DC-DC boost converter. The RBA network consists of N-bit memory. The instantaneous PV power value sets the contents of the memory to generate the variable step size of the duty ratio. Moreover, the design of the neural network to give its best performance is explained. ConclusionsThe performance of the chosen PV module is simulated for a variable solar radiation and a constant temperature. Simulation studies are performed using MATLAB to evaluate the system performance. From simulation results, the proposed RNA can achieve a fast tracking time, a high power efficiency, an actual maximum power point and an acceptable ripple. Additionally, comparisons between the RNA algorithm and other related algorithms such as Perturbe and Observe, Neural Network, and Adaptive Neural Interference System algorithms are executed. The proposed RNA achieves the best performance in all terms.

Comparison between Seven MPPT Techniques Implemented in a Buck Converter

2019 ◽  
Vol 12 (6) ◽  
pp. 476-486
Author(s):  
Lahcen El Mentaly ◽  
Abdellah Amghar ◽  
Hassan Sahsah
Keyword(s):  
Value Added ◽  
Buck Converter ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Low Efficiency ◽  
Power Point

Background: The solar field on our planet is inexhaustible, which favors the use of photovoltaic electricity which generates no nuisance: no greenhouse gases, no waste. Methods: It is a high value-added energy that is produced directly at the place of consumption through photovoltaic (PV) solar panels. Notwithstanding these advantages, the maximum power depends strongly on solar irradiation and temperature, which means that a Maximum Power Point Tracking (MPPT) controller must be inserted between the PV panel and the load in order to follow the Maximum Power Point (MPP) continuously and in real time. In this work, MPP’s behavior was simulated at different temperatures and solar irradiations using seven techniques which identify the MPP by different methods. Results: The novelty of this work is that the seven MPPT methods were compared according to a very selective criterion which is the MPPT efficiency as well as a purely digital duty cycle control without using the PI controller. The simulation under the PSIM software shows that the FLC, TP, FSCC, TG, HC and IC methods have almost the same efficiency of 99%, whereas the FOCV method had a low efficiency of 96%. Conclusion: This makes it possible to conclude that the best methods are FLC, HC and IC because they use fewer sensors compared to the rest.

scholarly journals A Novel Maximum Power Point Tracking Control Strategy for the Building Integrated Photovoltaic System

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2679
Author(s):  
Yuhang Liu ◽  
Xiangxin Liu ◽  
Jianwei Zhang ◽  
Yufeng Zhang ◽  
Ziyao Zhu
Keyword(s):  
Thin Film ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Variable Step Size ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Building Integrated Photovoltaic ◽  
Photovoltaic Technology ◽  
Power Point

Thin-film photovoltaic technology has begun to be applied in building-integrated photovoltaics (BIPVs), and it is believed that thin-film photovoltaic technology has potential in building-integrated photovoltaic applications. In this paper, a hybrid approach was investigated which combined the maximum power point tracking (MPPT) algorithm of three-stage variable step size with continuous conduction mode (CCM)/discontinuous current mode (DCM). The research contents of this paper include the principle analysis of the maximum power point tracking algorithm, the design of the sampling period, and the design of a double closed-loop control system and correction factor. A system model was built in MATLAB/Simulink, and a comparative simulation was carried out to compare the performance of the proposed method with some traditional methods. The simulation results show that the proposed approach has the ability to fast-track and make the system run stably. Furthermore, it can make the system respond quickly to environmental changes. An experimental platform was built, and the experimental results validated and confirmed the advantages of the proposed method.

Solar powered battery charging scheme for light electric vehicles (LEVs)

2021 ◽  
Vol 22 (1) ◽  
pp. 101-111
Author(s):  
Kamal Singh ◽  
Anjanee Kumar Mishra ◽  
Bhim Singh ◽  
Kuldeep Sahay
Keyword(s):  
Electric Vehicles ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Battery Charging ◽  
Charging System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Solar Powered ◽  
Power Point ◽  
Conduction Mode

Abstract This work is targeted to design an economical and self-reliant solar-powered battery charging scheme for light electric vehicles (LEV’s). The single-ended primary inductance converter (SEPIC) is utilized to enhance the performance of solar power and battery charging at various solar irradiances. Various unique attributes of a SEPIC converter offer the effective charging arrangement for a self-reliant off-board charging system. Further, the continuous conduction mode (CCM) function of the converter minimizes the elementary stress and keeps to maintain the minimum ripples in solar output parameters. A novel maximum power point tracking (MPPT) approach executed in the designed system requires only the battery current to track the maximum power point (MPP) at various weather situations. Both the simulated and real-time behaviors of the developed scheme are examined utilizing a battery pack of 24 V and 100 Ah ratings. These responses verify the appropriateness of the designed system for an efficient off-board charging system for LEV’s.

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.

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