scholarly journals A Novel Module Independent Straight Line-Based Fast Maximum Power Point Tracking Algorithm for Photovoltaic Systems

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3233
Author(s):  
Anjan Debnath ◽  
Temitayo O. Olowu ◽  
Imtiaz Parvez ◽  
Md Golam Dastgir ◽  
Arif Sarwat
Keyword(s):  
Duty Cycle ◽  
Maximum Power Point Tracking ◽  
Weather Condition ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Power Extraction ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Straight Line ◽  
Power Point

The maximum power point tracking (MPPT) algorithm has become an integral part of many charge controllers that are used in photovoltaic (PV) systems. Most of the existing algorithms have a compromise among simplicity, tracking speed, ability to track accurately, and cost. In this work, a novel “straight-line approximation based Maximum Power Point (MPP) finding algorithm” is proposed where the intersections of two linear lines have been utilized to find the MPP, and investigated for its effectiveness in tracking maximum power points in case of rapidly changing weather conditions along with tracking speed using standard irradiance and temperature curves for validation. In comparison with a conventional Perturb and Observe (P&O) method, the Proposed method takes fewer iterations and also, it can precisely track the MPP s even in a rapidly varying weather condition with minimal deviation. The Proposed algorithm is also compared with P&O algorithm in terms of accuracy in duty cycle and efficiency. The results show that the errors in duty cycle and power extraction are much smaller than the conventional P&O algorithm.

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 Maximum Power Point Tracking for a Point Absorber Device with a Tubular Linear Switched Reluctance Generator

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2192 ◽  
Author(s):  
Rui Mendes ◽  
Maria Calado ◽  
Sílvio Mariano
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Switched Reluctance ◽  
Power Extraction ◽  
Point Absorber ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Average Maximum ◽  
Power Point

This paper addresses the control of a Tubular Linear Switched Reluctance Generator (TLSRG) with application in a point absorber device. A maximum power point tracking (MPPT) strategy is proposed to maximize the power extraction from ocean waves. The generator is characterized by average maximum force of 120 kN and a maximum velocity of 1.3 m/s. The proposed MPPT is achieved by changing the generator damping load according to the excitation force induced by a regular wave. A hysteresis controller is applied to regulate the phase current intensity which allows the control of the linear force provided by the generator. The conversion system direct current (DC) bus voltage is adjusted by an isolated DC/DC converter with a proportional integral controller to define the appropriate duty-cycle.

scholarly journals A Proposal for an MPPT Algorithm Based on the Fluctuations of the PV Output Power, Output Voltage, and Control Duty Cycle for Improving the Performance of PV Systems in Microgrid

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4326
Author(s):  
Nguyen Van Tan ◽  
Nguyen Binh Nam ◽  
Nguyen Huu Hieu ◽  
Le Kim Hung ◽  
Minh Quan Duong ◽  
...  
Keyword(s):  
Output Power ◽  
Duty Cycle ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Ambient Conditions ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In microgrids, distributed generators that cannot be dispatched, such as a photovoltaic system, need to control their output power at the maximum power point. The fluctuation of their output power should be minimized with the support of the maximum power point tracking algorithm under the variation of ambient conditions. In this paper, a new maximum power point tracking method based on the parameters of power deviation (ΔPPV), voltage difference (ΔVPV), and duty cycle change (ΔD) is proposed for photovoltaic systems. The presented algorithm achieves the following good results: (i) when the solar radiance is fixed, the output power is stable around the maximum power point; (ii) when the solar radiance is rapidly changing, the generated power is always in the vicinity of maximum power points; (iii) the effectiveness of energy conversion is comparable to that of intelligent algorithms. The proposed algorithm is presented and compared with traditional and intelligent maximum power point tracking algorithms on the simulation model by MATLAB/Simulink under different radiation scenarios to prove the effectiveness of the proposed method.

scholarly journals High Performance Adaptive Maximum Power Point Tracking Technique for Off-Grid Photovoltaic Systems

2021 ◽  
Author(s):  
Mohamed Mosaad ◽  
Fahd Banakhr
Keyword(s):  
Duty Cycle ◽  
Maximum Power Point Tracking ◽  
Pi Controller ◽  
Maximum Power ◽  
Reference Voltage ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Abstract Solar photovoltaic (PV) energy has met great attention in the electrical power generation field for its many advantages in both on and off-grid applications. The requirement for higher proficiency from the PV system to reap the energy requires maximum power point tracking techniques (MPPT). This paper presents an adaptive MPPT of a stand-alone PV system using an updated PI controller optimized by harmony search (HS). A lockup table is formed for the temperature and irradiance with the corresponding voltage at MPP (VMPP). This voltage is considered as the updated reference voltage required for MPP at each temperature and irradiance. The difference between this updated reference voltage at MPP and the variable PV voltage due to changing the environmental conditions is used to stimulate PI controller optimized by HS to update the duty cycle (D) of the DC-DC converter. Another lockup table is formed with the temperature, irradiance and the corresponding duty cycle at MPP to convert this MPP technique into an adaptive one. An experimental implementation of the proposed adaptive MPPT is introduced to test the validity of the simulation results obtained at different irradiance and temperature levels.

The High-Gain Boost Converter for Maximum Power Point Tracking in Photovoltaic System

2011 ◽  
Vol 383-390 ◽  
pp. 2677-2684
Author(s):  
Hong Fang Tian ◽  
Jian Bo Cao ◽  
Zheng Xi Li
Keyword(s):  
Duty Cycle ◽  
Maximum Power Point Tracking ◽  
High Gain ◽  
Control Circuit ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Conductance Method ◽  
Power Point

The aim of this paper is to introduce a high-gain Boost circuit and to use the maximum power model to analyze the principles of maximum power point tracking (MPPT) in photovoltaic (PV) system .The principle is applied to the high-gain Boost circuit and control circuit, through a specific MPPT algorithm to change the duty cycle of Boost circuit realizes maximum power tracking and higher DC output voltage, the control circuit are formed by the CPLD and the AVR microcontroller, through which the control circuit to generate a varying duty cycle and 40KHz PWM pulse to control High-gain Boost circuit. Algorithm uses the incremental conductance method. Experiments show that maximum power point tracking effect is good.

Maximum power extraction framework using robust fractional-order feedback linearization control and GM-CPSO for PMSG-based WECS

2020 ◽  
pp. 0309524X2094826
Author(s):  
Sami Kahla ◽  
Mohcene Bechouat ◽  
Toufik Amieur ◽  
Moussa Sedraoui ◽  
Badreddine Babes ◽  
...  
Keyword(s):  
Energy Conversion ◽  
Feedback Linearization ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Power Extraction ◽  
Wind Energy Conversion ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The most important issue in the use of wind energy conversion systems is to ensure maximum power extraction in terms of efficiency. Therefore, maximum power point tracking algorithms are as important as the maximum power point tracking controller. In this study, maximum power extraction frameworks operating the state-of-the-art optimization methods are presented for permanent magnet synchronous generator–based wind energy conversion system. These frameworks consist of a Gauss map–based chaotic particle swarm optimization and a hybrid maximum power point tracking approach that combines feedback linearization technique with fractional-order calculus. The feedback linearization control strategy can fully decouple and linearize the original state variables of the nonlinear system and thus provide an optimal controller crossing wide-range operating conditions. The objective is to maintain the tip speed ratio at its optimal value, which implies the use of a rotational speed loop. The method is based on the feedback linearization technique and the fractional control theory. Gauss map–based chaotic particle swarm optimization, which is a remarkable and recent optimization technique, is utilized to achieve optimum coefficients to efficiently ensure the maximum power point tracking operation in here. A simulation study is carried out on a 3-kW wind energy conversion system to show the effectiveness of the proposed control scheme.

scholarly journals A Hybrid Maximum Power Point Tracking Method for Photovoltaic Systems for Dynamic Weather Conditions

Resources ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 68 ◽  
Author(s):  
Khaled Bataineh ◽  
Naser Eid
Keyword(s):  
Fuzzy Logic Controller ◽  
Maximum Power Point Tracking ◽  
Weather Condition ◽  
Weather Conditions ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Inference System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

A hybrid MPPT (maximum power point tracking) controller integrates FLC (fuzzy logic controller) and P&O (Perturbation and Observation) method for MMPT of PV (Photovoltaic) under dynamic weather conditions is proposed. An adaptive neuro-fuzzy inference system is used to optimize parameters and membership functions of FLC. FLC is used to find the region of MPP (maximum power point); then, P&O technique is employed to accurately track the MPP. MATLAB/Simulink models are built to evaluate the performance of the proposed hybrid algorithm. In order to validate the performance of the proposed algorithm, comparisons with standalone FLC and P&O are carried out. The performance of the proposed algorithm is tested against dynamic weather condition. The results showed that the proposed algorithm successfully improve the dynamic and steady state responses of PV under severe dynamic weather condition. More specifically, the proposed approach shows its capability to attain the MPP faster than P&O and provided higher power than the standalone FLC. Finally, the proposed algorithm overcomes the limitations associated with FLC and P&O.

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