Performance Study of MPPT Algorithms of DC-DC Boost Converters For PV Cell Applications

Prabhu, H. Umesh; Babu, M. Ramesh

doi:10.1109/icees51510.2021.9383701

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…We can achieve this by adding an electronic system whose location is between the solar panels and the load. The duty cycle of the converter is controlled through MPPT technology to control the level of voltage to be output (Prabhu and Babu, 2021). In this study, a DC-DC boost converter will be used, as this converter has the advantage of raising the input voltage and outputting a higher voltage as needed.…”

Section: Dc-dc Convertersmentioning

confidence: 99%

Design And Comparison of Mppt Controller for Pv Systems

Teke

AL-ARJEELI

Korkmaz

2023

IJERAD

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Elektrik enerjisi insan hayatında çok önemli ve vazgeçilmez bir unsurdur, bu yüzden elektrik üretimi yollarını bulmak ve kesintiye uğramamak için çalışmalar yapılmalıdır. Elektrik enerjisi üretiminin ana kaynağı fosil yakıtlardır, ancak maliyetlerinin artması ve genel kıtlık ve büyük nüfus artışı ile birlikte teknolojik ilerleme nedeniyle elektrik enerjisi talebindeki artış araştırmacıların yenilenebilir ve sürdürülebilir enerji üretimine yöneltmektedir. Güneş enerjisi, yenilenebilir çevre dostu enerjinin en önemli kaynaklarındandır. Ancak güneş enerjisi düşük verimliliğe sahiptir, bu nedenle araştırmacıların verimliliği artırmanın yollarını bulmaları için bir ilgi kaynağı haline gelmiştir. Maksimum Güç Noktası İzleme tekniği, günümüzde fotovoltaik sistemlerin verimliliğini artırmak için kullanılan tekniklerden biri olarak kabul edilmektedir. Araştırmacılar, maksimum güç noktası takibi için MPPT teknolojisinde uygulanacak bir dizi algoritma geliştirmeye ve uygulamaya, farklı ölçüm koşullarında güneş panellerinden maksimum gücü çıkarmaya ve belirli bir seviye sağlamak için bir DC-DC dönüştürücünün görev döngüsünü kontrol etmeye odaklanmaktadır. Bu çalışmada, üç farklı algoritmayı maksimum güç noktası izleme tekniğinde uygulayacağız, bunlar Pertürbasyon ve Gözlem (P&O) algoritması, bulanık mantık denetleyicisi (FLC) algoritması ve parçacık sürüsü optimizasyonu (PSO) algoritmalarıdır. Fotovoltaik sistem tasarımları MATLAB/Simulink kullanılarak simüle edilmiş ve simülasyon sonuçları standart ve değişken test koşulları altında karşılaştırılmıştır. Sonuçta en verimli algoritma parçacık sürüsü optimizasyonu algoritması olmuştur.

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Section: Dc-dc Convertersmentioning

confidence: 99%

Design And Comparison of Mppt Controller for Pv Systems

Teke

AL-ARJEELI

Korkmaz

2023

IJERAD

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“…Since the input and output variables of the array (solar irradiation and load) are intermittent throughout, an MPPT algorithm is needed to extract and transmit the maximum instantaneous power to the load. PV array with DC-DC converter and MPPT control circuit [9] is shown in Fig. 2.…”

Section: ░ 3 Mppt Algorithmsmentioning

confidence: 99%

Comparative Analysis of Particle Swarm Optimization and Artificial Neural Network Based MPPT with Variable Irradiance and Load

Srivastava

Lata

Lohan

et al. 2022

IJEER

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The escalating demands and increasing awareness for the environment, resulted in deployment of Photovoltaic (PV) system as a viable option. PV system are widely installed for numerous applications. However, the challenges in tracking the maximum power with intermittent atmospheric condition and varying load is significant. Maximum Power Point Tracking (MPPT) algorithms are employed and based on their convergence speed, control of external variations and oscillation, the output power efficiency, and other significant factors viz. the algorithm complexity and implementation cost, novel MPPT approach are preferable than the conventional approach. This paper presents an artificial intelligence-based optimization controller for MPPT in a PV system under varying load and irradiance conditions. Comparative analysis of Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) based MPPT is simulated and analysed. The PV system consisting of PV array and boost converter with MPPT controller feeds the DC load. The power conversion and panel efficiency are the significant factors to determine the effectiveness of tracking maximum power point. The simulation results show the performance of these controllers on the PV panel output power and the load side output power under changing loads and irradiance. In addition, the comparison of PV panel efficiency of ANN and PSO based MPPT techniques w.r.t changing loads is carried out. Based on the above analysis, PSO based MPPT algorithm marginally outperforms the ANN based MPPT algorithm. Further, the implementation of hybrid MPPT (ANN &PSO) for higher accuracy and tracking capability can be carried out as future work.

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“…It is relevant to note that the state of charge of any battery storage in a microgrid system will determine the limit of such battery storage. To determine how massive the microgrid system's battery storage will be, the depth of discharge, ambient temperature, battery storage life and the capacity are critical determining factors [25][26][27][28][29]. When the microgrid battery storage is in the charging mode, the Equation ( 6) can be obtained.…”

Section: Battery Modellingmentioning

confidence: 99%

Voltage Rise Regulation with a Grid Connected Solar Photovoltaic System

2021

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Renewable Distributed Generation (RDG), when connected to a Distribution Network (DN), suffers from power quality issues because of the distorted currents drawn from the loads connected to the network over generation of active power injection at the Point of Common Coupling (PCC). This research paper presents the voltage rise regulation strategy at the PCC to enhance power quality and continuous operation of RDG, such as Photovoltaic Arrays (PVAs) connected to a DN. If the PCC voltage is not regulated, the penetration levels of the renewable energy integration to a DN will be limited or may be ultimately disconnected in the case of a voltage rise issue. The network is maintained in both unity power factor and voltage regulation mode, depending on the condition of the voltage fluctuation occurrences at the PCC. The research investigation shows that variation in the consumer’s loads (reduction) causes an increase in the power generated from the PVA, resulting in an increase in the grid current amplitude, reduction in the voltage of the feeder impedance and an increase in the phase voltage amplitude at the PCC. When the system is undergoing unity power factor mode, PCC voltage amplitude tends to rises with the loads. Its phase voltage amplitude rises above an acceptable range with no-loads which are not in agreement, as specified in the IEEE-1547 and Southern Africa grid code prerequisite. Incremental Conduction with Integral Regulator bases (IC + PI) are employed to access and regulate PVA generation, while the unwanted grid current distortions are attenuated from the network using an in-loop second order integral filtering circuit algorithm. Hence, the voltage rise at the PCC is mitigated through the generation of positive reactive power to the grid from the Distribution Static Compensator (DSTATCOM), thereby regulating the phase voltage. The simulation study is carried out in a MATLAB/Simulink environment for PVA performance.

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Performance Study of MPPT Algorithms of DC-DC Boost Converters For PV Cell Applications

Cited by 7 publications

References 4 publications

Design And Comparison of Mppt Controller for Pv Systems

Design And Comparison of Mppt Controller for Pv Systems

Comparative Analysis of Particle Swarm Optimization and Artificial Neural Network Based MPPT with Variable Irradiance and Load

Voltage Rise Regulation with a Grid Connected Solar Photovoltaic System

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