A performance evaluation model of a high concentration photovoltaic module with a fractional open circuit voltage-based maximum power point tracking algorithm

Huang, Yu-Pei; Hsu, Sheng-Yu

doi:10.1016/j.compeleceng.2016.01.009

Cited by 55 publications

(27 citation statements)

References 17 publications

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“…Considering the abovementioned, various looks into have been completed utilizing conventional calculations for the displaying and usage of MPPT controllers [5], of which coming up next are featured: bother plus watch (P&O) [6], [7], adjusted P&O [8], [9], fragmentary short out current [10], partial open circuit voltage [11], sliding mode control [12], [13] and gradual conductance [14]. The P&O calculation has been utilized generally, yet it has been demonstrated that this strategy has issues for following the MPP when there are unexpected change within sun powered irradiance [15].…”

Section: Literature Surveymentioning

confidence: 99%

A PV Module Integrated Converter for Enhanced Perfomance in Standalone and DC Microgrid Applications

2019

IJITEE

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The aim of these design toward plot and execute greatest power point following (MPPT) that makes utilize of a fluffy rationale control algorithm. Fluffy rationale, via using dealing with nonlinearities, gives a regular controller used for this form of utilization. The technique likewise income by the heuristic way to deal with the problem that beats the intricacy in demonstrating nonlinear frameworks. Therefore as to perform this objective, MPPT model comprising of a PV module, a DC-DC converter, and a fluffy rationale controller become created. Examination of buck, converter as well as buck-support converter attributes changed into done within an effort on the way to distinguish the most appropriate topology. An incorporated copy of the PV module along with the distinguished converter became reproduced also the effects worn to determine the grasp studying predicted near devise also music the fluffy rationale regulator. The regulator changed into veiled the same as an ongoing control application and the MPPT finished via a dc-dc converter constrained by means of a microcontroller. These results in progressed productiveness in favor of the hobby of a photovoltaic strength framework considering battery may be accurately charged and applied in the course of times of low sunlight based radiation. The better productiveness is relied upon to set off essential value funding funds over the long haul. The well known price is saved low through choosing segments that take into account executing the capacities requiring little to no effort. Reenactment outcomes demonstrate the high estimation of the element coordinated converter for DC unbiased and microgrid packages. A 400 W model changed into completed by 0.14 Euro/W. Testing established efficiencies over 95% thinking about every misfortunes from have an effect on trade, fuzzy logic MPPT, and estimation and manage hardware. Rundown phrases-Boost converter, fuzzy logic most extreme power point following (DMPPT), microgrid, and module coordinated converter (MIC), photovoltaics (PV), control analyzer, control quality, sun based irradiance, exchanging recurrence tweak (SFM).

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Section: Literature Surveymentioning

confidence: 99%

A PV Module Integrated Converter for Enhanced Perfomance in Standalone and DC Microgrid Applications

2019

IJITEE

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“…When considering the effect of temperature and irradiance changes, the light-generated current IPV, which depends linearly on the solar irradiance and is influenced by the temperature, should be corrected by = , + Δ (5) where IPV,STC is the light-generated current at STC, KI is the temperature coefficient of the current, G is the irradiance level on the cell surface, GSTC is 1000 W/m 2 , ∆ = − , and Tcell and TSTC are the actual temperature of the solar cell and 25 °C, respectively. In addition, the diode reverse saturation current I0 is strongly dependent on the temperature, and it can be modeled as [19] = , + Δ exp , + Δ − 1 (6) where ISC,STC and VOC,STC are the short circuit current and open circuit voltage at STC, respectively, while KI and KV individually represent the temperature coefficients of the current and voltage.…”

Section: Irradiance and Temperature Effectsmentioning

confidence: 99%

“…1.2 Simulations were conducted under the same conditions for the five MPPT algorithms and all of the experiments were performed with the same initial position of the operating points, as indicated in Section 2.5. The convergence judgment criteria, according to Equations (19) and (20), were the same for all the algorithms. Simulations were conducted under the same conditions for the five MPPT algorithms and all of the experiments were performed with the same initial position of the operating points, as indicated in Section 2.5.…”

Section: Variablesmentioning

confidence: 99%

A Modified Firefly Algorithm with Rapid Response Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions

Huang

Chen

2018

Energies

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A rapid response optimization technique for photovoltaic maximum power point tracking (MPPT) under partial shading conditions (PSCs) is proposed in this study. To improve the solar MPPT tracking speed for rapidly-changing environmental conditions and to prevent the conventional firefly algorithm (FA) from becoming trapped at the local peaks and oscillations during the search process, a novel fusion algorithm, named the modified firefly algorithm (MFA), is proposed. The MFA integrates and modifies the processes of two algorithms, namely the firefly algorithm with neighborhood attraction (NaFA) and simplified firefly algorithm (SFA). A modified attraction process for the NaFA is used in the first iteration to avoid trapping at local maximum power points (LMPPs). In addition, in order to improve the convergence speed, the attractiveness factor of the attraction process is designed to be related to the power and position difference of the fireflies. Furthermore, the number of fireflies is designed to decrease in proportion with the iterations in the modified SFA process. Results from both the simulations and evaluations verify that the proposed algorithm offers rapid response with high accuracy and efficiency when encountering PSCs. In addition, the MFA can avoid becoming trapped at LMPPs and ease the oscillations during the search process. Consequently, the proposed method could be considered to be one of the most promising substitutes for existing approaches. In addition, the proposed method is adaptable to different types of solar panels and different system formats with specifically designed parameters.

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“…Taking into account the above, different researches have been carried out using traditional algorithms for the modeling and implementation of MPPT controllers [2], of which the following are highlighted: perturb and observe (P&O) [3,4], modified P&O [5,6], fractional short circuit current [7], fractional open circuit voltage [8], sliding mode control [9,10] and incremental conductance [11]. The P&O algorithm has been used traditionally, but it has been shown that this method has problems for tracking the MPP when there are sudden changes in solar irradiance [12].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Based MPPT Controller for a PV System

Robles-Algarín¹,

Giraldo²,

Álvarez³

2017

Energies

124

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Abstract:The output power of a photovoltaic (PV) module depends on the solar irradiance and the operating temperature; therefore, it is necessary to implement maximum power point tracking controllers (MPPT) to obtain the maximum power of a PV system regardless of variations in climatic conditions. The traditional solution for MPPT controllers is the perturbation and observation (P&O) algorithm, which presents oscillation problems around the operating point; the reason why improving the results obtained with this algorithm has become an important goal to reach for researchers. This paper presents the design and modeling of a fuzzy controller for tracking the maximum power point of a PV System. Matlab/Simulink (MathWorks, Natick, MA, USA) was used for the modeling of the components of a 65 W PV system: PV module, buck converter and fuzzy controller; highlighting as main novelty the use of a mathematical model for the PV module, which, unlike diode based models, only needs to calculate the curve fitting parameter. A P&O controller to compare the results obtained with the fuzzy control was designed. The simulation results demonstrated the superiority of the fuzzy controller in terms of settling time, power loss and oscillations at the operating point.

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A performance evaluation model of a high concentration photovoltaic module with a fractional open circuit voltage-based maximum power point tracking algorithm

Cited by 55 publications

References 17 publications

A PV Module Integrated Converter for Enhanced Perfomance in Standalone and DC Microgrid Applications

A PV Module Integrated Converter for Enhanced Perfomance in Standalone and DC Microgrid Applications

A Modified Firefly Algorithm with Rapid Response Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions

Fuzzy Logic Based MPPT Controller for a PV System

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