Voltage-Sensor-Based MPPT for Stand-Alone PV Systems Through Voltage Reference Control

Killi, Muralidhar; Samanta, Susovon

doi:10.1109/jestpe.2018.2864096

Cited by 42 publications

(25 citation statements)

References 27 publications

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“…Therefore, the reference values of VPA or IPA for the next iteration are generated by decrementing the voltage or current perturbation step-size from the previous iteration value of voltage or current, respectively, as in (1) and (2).…”

Section: Proposed Mppt Algorithmmentioning

confidence: 99%

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Voltage and Current Reference Based MPPT Under Rapidly Changing Irradiance and Load Resistance

Jately

Bhattacharya

Azzopardi

et al. 2021

IEEE Trans. Energy Convers.

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This paper formulates a maximum power point tracking (MPPT) technique that accurately tracks the maximum power point of photovoltaic (PV), which undergoes simultaneous or independent sudden changes in load resistance and irradiance. The proposed algorithm is fundamentally divided into three parts; current and voltage perturbation algorithm (IPA/VPA), perturbation step-size reduction algorithm (PSSRA) and a deviation avoidance loop. The use of dual perturbation parameters using IPA and VPA ensures high tracking speed. PSSRA iteratively reduces the perturbation step-size of IPA and VPA and helps in reducing the power oscillations around MPP. Finally, a deviation avoidance loop is developed to detect a change in irradiance by examining the sign of the slope of the two power curves, namely P-V and P-I. The algorithm compares the per unit change in voltage and current of PV, to determine a simultaneous change in both irradiance and load resistance. The proposed algorithm is compared with two recently developed MPPT algorithms. The results show that the proposed technique can track the MPP with high speed and low steady-state oscillations and does not deviate from the MPP tracking path regardless of fast changes in irradiance and load resistance.

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Section: Proposed Mppt Algorithmmentioning

confidence: 99%

“…On the other hand, a small stepsize reduces the power oscillations, but it also slows down the tracking process. Adaptive step-size based MPPT algorithm tries to balance this trade-off between low steady-state oscillations and high tracking speed [2]. _________________________…”

Section: Introductionmentioning

confidence: 99%

Voltage and Current Reference Based MPPT Under Rapidly Changing Irradiance and Load Resistance

Jately

Bhattacharya

Azzopardi

et al. 2021

IEEE Trans. Energy Convers.

View full text Add to dashboard Cite

show abstract

“…whereas R min and R max are the minimum and maximum PV resistance predicted at 1000 W/m 2 @ maximum operating temperature (say 55 o C) and 100 W/m 2 @ minimum operating temperature (say 25 o C) respectively. Hence it can operate in minimum irradiance to maximum irradiance at corresponding MPP resistance (R mpp ) without calculating any other parameter like I sc , V oc and Irr of the PV panel like [13][14][15][16][17][18][19][20][21][22][23][24]. Whenever the irradiance of PV changes, the value of R pv also changes, thereby its violating the minmax limit.…”

Section: B Resistance Perturbation Based Mppt Algorithmmentioning

confidence: 99%

“…For the load current I o in (15), the value of L and C from (13) and 14is 12mH and 120µF respectively. The available value of capacitance in the market for the output voltage determined from (15) is 270µF at 160V.…”

Section: Proposed Mppt Algorithm Realization Using Boost Convertermentioning

confidence: 99%

“…Hence it is not economical for PV MPPT methods. The single voltage sensor based algorithm was developed in [13] to limit the steady state oscillation, but it does not have better performance in sudden change in irradiance and transient state of PV system. The same approach was introduced by a modification of 80% open circuit voltage (0.8V oc ) to reduce the tracking time of oscillation around the MPP in [14].…”

Section: Introductionmentioning

confidence: 99%

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An Adaptive Resistance Perturbation Based MPPT Algorithm for Photovoltaic Applications

et al. 2020

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This paper proposes a Resistance perturbation based maximum power point tracking (MPPT) with an adaptive control limit algorithm to extract the maximum power from solar photovoltaic (PV) array. This algorithm consists of two main functions, namely 1) resistance perturbation & observation (RP&O) and 2) adaptive resistance control (ARC) limit. The RP&O operates the PV array at maximum power point (MPP), and the ARC limit continuously monitors the resistance of the PV R pv to determine the operating limit of MPP. The ultimate aim of proposing this algorithm is to reduce the oscillations and improve MPP's tracking performance for sudden variation in temperature and irradiance conditions. Furthermore, it does not require an expensive pyranometer or temperature sensor to track the MPP of the PV array. This paper also compares the proposed and conventional MPPT algorithm's performance. Its validation results in both MATLAB/Simulink and experimental studies are presented under constant and sudden changes in irradiance conditions.

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Improved solar photovoltaic performance in standalone low‐voltage direct current microgrids using sensor fault tolerant control

Satya Sai Chandra,

Mohapatro

2024

Circuit Theory & Apps

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The advancement of renewable energy technology has been significantly aided by solar photovoltaics (PV). Since solar PV is a weather‐dependent source, it cannot be dispatched. To ensure that the solar PV system can harvest the maximum amount of electricity for the available irradiance level, maximum power point tracking (MPPT) algorithms are used. For standalone low‐voltage DC (LVDC) microgrids to utilize the energy storage system as efficiently as possible, maximum power extraction is essential. The sensed PV voltage and current are essential for these MPPT algorithms to ensure that the maximum power point of the panel is captured. This work proposes an effective fault‐tolerant control (FTC) scheme for the solar PV subsystem in the LVDC microgrid that can seamlessly extract the maximum power despite the PV voltage sensor being faulty. The proposed FTC scheme uses a sliding mode observer (SMO)‐based method to detect and isolate PV voltage sensor faults in the standalone LVDC microgrid. The efficacy of the proposed FTC is assessed in a range of circumstances involving load disturbance, irradiance change, and various sensor fault scenarios. The performance of the proposed FTC is validated using experimental analysis on the LVDC microgrid testbed and MATLAB simulations. Given a faulty PV voltage sensor, at a given operating condition of the microgrid, the proposed FTC scheme is successful in reducing the additional power burden on the battery storage by at least two times. Consequently, the additional discharge in terms of SoC is also seen to be decreased by at least 9%. The proposed FTC technique outperforms the popular MPPT approaches for solar PV in terms of PV voltage sensor fault tolerance in the microgrid.

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Voltage-Sensor-Based MPPT for Stand-Alone PV Systems Through Voltage Reference Control

Cited by 42 publications

References 27 publications

Voltage and Current Reference Based MPPT Under Rapidly Changing Irradiance and Load Resistance

Voltage and Current Reference Based MPPT Under Rapidly Changing Irradiance and Load Resistance

An Adaptive Resistance Perturbation Based MPPT Algorithm for Photovoltaic Applications

Improved solar photovoltaic performance in standalone low‐voltage direct current microgrids using sensor fault tolerant control

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