Hybrid, optimization, intelligent and classical PV MPPT techniques: Review

Bollipo, Ratnakar Babu; Mikkili, Suresh; Bonthagorla, Praveen Kumar

doi:10.17775/cseejpes.2019.02720

Cited by 219 publications

(76 citation statements)

References 2 publications

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“…To run PV modules at full power, a number of MPPT techniques are used. These techniques are classified as follows based on their monitoring existence under partial shading conditions (PSCs) (Bollipo et al, 2021):…”

Section: Different Algorithms Of Mpptmentioning

confidence: 99%

“…The merits of P&O are high tracking capability, simple and fast dynamic. The de-merits are oscillations around the MPP, unable to track exact MPP under PSCs and high power loss in stable conditions (Bollipo et al, 2021).…”

Section: Maximum Power Point Tracking Algorithmsmentioning

confidence: 99%

“…With IC technique claiming to enhance P&O by contrasting the PV array instantaneous I =V and incremental dI =dV conductance instead of the P&O's derivative of power versus voltage dP=dV (Sera et al, 2013). Both data in this approach would be meant to use the slope of the system's P-V curve and track the MPP (Bollipo et al, 2021;Jung et al, 2005). The slope of P-V curve is zero at MPP, positive at left and negative at right of MPP (Beriber and Talha, 2013;Esram and Chapman, 2007) as given by: 8 > > > > > > > < > > > > > > > :…”

Section: Maximum Power Point Tracking Algorithmsmentioning

confidence: 99%

“…The merit of IC technique is low oscillations around the MPP. The de-merits are different steps require complex and expensive controls (Bollipo et al, 2021).…”

Section: Febementioning

confidence: 99%

“…If the MPPT version can precisely control the continuously changing operational point where the maximum power is available, the solar cell's efficiency will be raised. Beriber and Talha (2013) and Bollipo et al (2021) proposed several algorithms, including P&O, IC and the fuzzy logic control (FLC) method. These algorithms differ in terms of their efficacy, complexity, convergence speed, needed sensors and cost.…”

Section: Introductionmentioning

confidence: 99%

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Review of maximum power point tracking algorithms of PV system

Elbarbary

Alranini

2021

FEBE

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PurposeSilicon photovoltaics technology has drawbacks of high cost and power conversion efficiency. In order to extract the maximum output power of the module, maximum power point (MPP) is used by implying the nonlinear behavior of I-V characteristics. Different techniques are used regarding maximum power point tracking (MPPT). The paper aims to review the techniques of MPPT used in PV systems and review the comparison between Perturb and Observe (P&O) method and incremental conductance (IC) method that are used to track the maximum power and gives a comparative review of all those techniques.Design/methodology/approachA study of MPPT techniques for photovoltaic (PV) systems is presented. Matlab Simulink is used to find the MPP using P&O simulation along with IC simulation at a steady temperature and irradiance.FindingsMATLAB simulations are used to implement the P&O method and IC method, which includes a PV cell connected to an MPPT-controlled boost converter. The simulation results demonstrate the accuracy of the PV model as well as the functional value of the algorithms, which has improved tracking efficiency and dynamic characteristics. P&O solution gave 94% performance when configured. P&O controller has a better time response process. As compared to the P&O method of tracking, the incremental conductance response rate was significantly slower.Originality/valueIn PV systems, MPPT techniques are used to optimize the PV array output power by continuously tracking the MPP under a variety of operating conditions, including cell temperature and irradiation level.

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Section: Different Algorithms Of Mpptmentioning

confidence: 99%

Section: Maximum Power Point Tracking Algorithmsmentioning

confidence: 99%

Section: Maximum Power Point Tracking Algorithmsmentioning

confidence: 99%

“…The merit of IC technique is low oscillations around the MPP. The de-merits are different steps require complex and expensive controls (Bollipo et al, 2021).…”

Section: Febementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Review of maximum power point tracking algorithms of PV system

Elbarbary

Alranini

2021

FEBE

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Multi‐input battery‐integrated single‐stage DC‐DC converter for reliable operation of solar photovoltaic‐based systems

Bodele

Kulkarni

2022

Circuit Theory & Apps

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Summary Solar photovoltaic (PV) systems are emerging progressively due to their wide compatibility range, ease of installation, and environmental friendliness. The module mismatch (MM) losses and module open circuit (MOC) fault can cause the power mismatch between different PV modules. This significantly affects the energy output from the PV module. Also, the intermittent nature of solar PV power makes the solar PV systems unreliable; to compensate for this, conventional PV systems utilize a battery storage system (BSS) with separate bidirectional converter. These bidirectional converters require two‐stage power conversion and massive battery bank connected at the DC link. This leads to the further reduction in overall efficiency. To address these issues, this paper proposed a multi‐input PV battery system (MIPBS) that uses nonisolated buck and boost converter combinations. It requires single‐stage power conversion to extract maximum power from each PV module along with BSS charging and discharging. Its modular design allows it to function across a wide range of voltage, power, and BSS choices. The proposed system is capable of mitigating the MM loss and sustaining the MOC fault. This paper discusses the operation, steady‐state analysis, and dynamic analysis of the proposed MIPBS. The performance of the proposed MIPBS is validated using a state‐of‐the‐art experimental setup with two PV modules, each having a rating of 60.53 W.

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A novel robust maximum power extraction framework for sustainable PV system using incremental conductance based MRAC technique

Singh

Akella

Manna

2023

Env Prog and Sustain Energy

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This study proposes a maximum power point tracking (MPPT) approach with two components: an Incremental Conductance (INC) MPPT for reference voltage regulation and a Model Reference Adaptive Controller (MRAC) for adjusting the duty cycle of the DC‐DC converter switch. A robustness test is performed on the system considering real‐world situations that involve an abrupt change in atmospheric conditions with load uncertainties. The probabilistic load distribution analysis is accomplished through levels of uncertainty (i.e., Probabilistic DOWN and UP) to guarantee the operation of the proposed INC‐MRAC controller while generating unexpected disturbances in the system. Using MATLAB/Simulink, the performances of the novel INC‐MRAC MPPT are comparatively analyzed with PO, INC, VSSPO, and ANN under realistic case studies in seven states. After comparative analysis, it is evident that the proposed MPPT offers less tracking time, i.e., 3.8 ms, to track maximum power point (MPP) with negligible steady‐state oscillation and ripples. It is about 3, 7, 9, and 10 times faster than ANN, VSSPO, INC and PO, respectively. Moreover, the tracking efficiency of the proposed controller is up to 99.63% as well as overall efficiency of the system is more than 98%. The tracking power loss and error rate in finding MPP for the proposed controller is the lowest among all state‐of‐the‐art MPPT approaches. Finally, the effectiveness of the proposed INC‐MRAC approach is experimentally validated by employing a real‐time simulator OPAL‐RT (OP4510). The study helps in environmental protection and participation in sustainable development.

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Hybrid, optimization, intelligent and classical PV MPPT techniques: Review

Cited by 219 publications

References 2 publications

Review of maximum power point tracking algorithms of PV system

Review of maximum power point tracking algorithms of PV system

Multi‐input battery‐integrated single‐stage DC‐DC converter for reliable operation of solar photovoltaic‐based systems

A novel robust maximum power extraction framework for sustainable PV system using incremental conductance based MRAC technique

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