Critical Evaluation of Offline MPPT Techniques of Solar PV for Stand-Alone Applications

Asim, Mohammed; Tariq, Mohd; Mallick, M.A.; Ashraf, Imtiaz; Kumari, Supriya; Bhoi, Akash Kumar

doi:10.1007/978-981-10-4286-7_2

Cited by 20 publications

(10 citation statements)

References 7 publications

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“…MPPT algorithm [55][56][57][58] is used to get the peak power point of a panel which boosts the photovoltaic panel's generation. To increase the output of the photo-voltaic module, numerous PV MPPT techniques were developed by many researchers.…”

Section: Maximum Power Point Tracking (Mppt)mentioning

confidence: 99%

Solar tracker transcript—A review

Kumar

Varshney

Ambikapathy

et al. 2021

Int Trans Electr Energ Syst

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Review transcript presents copious solar tracking methods to investigate their output potential and also outline tracker type, construction, cost, and design parameter. The solar follower systems encompassed five classifications based on the tracking methods are active, passive, semi-passive, manual, and chronological tracking are also reviewed with their application and feasibility. These all method-based research paper are compared on the basis of complexity of circuit, cost, tracking based on (radiation or astronomical equation), degree of freedom, control strategy, accuracy, energy intact, power or energy gain, tracing error, and panel efficiency. Basically, one axis and two axis sun following system review revels compare study against stable system which addressed their suitability and capability of maximum energy generation and MPPT technologies.

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Section: Maximum Power Point Tracking (Mppt)mentioning

confidence: 99%

Solar tracker transcript—A review

Kumar

Varshney

Ambikapathy

et al. 2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…The variability of solar irradiation has created challenges in extracting maximum power. Hence, many techniques have been prepared for MPPT [26,27]. The MPPT can be categorized into offline, online, and hybrid method.…”

Section: Mppt Controllermentioning

confidence: 99%

“…The MPPT can be categorized into offline, online, and hybrid method. This paper focuses on the offline method which uses a reference signal like a short circuit current, open circuit voltage, solar irradiation, and temperature to generate the control signal to track MPP [27].…”

Section: Mppt Controllermentioning

confidence: 99%

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An H5 Transformerless Inverter for Grid Connected PV Systems with Improved Utilization Factor and a Simple Maximum Power Point Algorithm

Albalawi

Zaid

2018

Energies

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Due to their small size, minimum cost, and great efficiency, photovoltaic (PV) grid-connected transformerless inverters have been developed and become famous around the world in distributed PV generators systems. One of the most efficient topologies of the transformerless inverter family is H5 topology. This inverter extracts a discontinuous current from the PV panel, which conflicts with the operation at maximum power point tracking (MPPT) conditions while the utilization factor of the PV degrades. This paper proposes improved H5 topology featuring a boost converter inserted in the middle between the PV panels and the H5 inverter. The design of the boost converter is planned to operate at continuous conduction mode to guarantee MPPT conditions of the PV. A new and simple off line MPPT algorithm is introduced and performance factors like efficiency and utilization factors of the proposed and convention H5 topology are compared. The simulation results indicate that the proposed system provides a preferable utilization factor and a simpler MPPT algorithm.

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“…Almost all the algorithms try to drive the PV cell at maxima of either V MPP or I MPP which ultimately makes the system to extract maximum power from it. The basic classification of MPPT methods can be divided into following categories: Conventionally, an indirect method called constant voltage method is used for MPPT in which open circuit voltage V OC is sampled either directly by using the voltage of the whole panel or by using the equivalent pilot cell [3]. Reference voltage is thus generated and duty ratio of the converter is then adjusted to make V PV = V REF .…”

Section: Introductionmentioning

confidence: 99%

Supertwisting Sliding Mode Algorithm Based Nonlinear MPPT Control for a Solar PV System with Artificial Neural Networks Based Reference Generation

et al. 2020

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The problem of extracting maximum power from a photovoltaic (PV) system with negligible power loss is concerned with the power generating capability of the PV array and nature of the output load. Changing weather conditions and nonlinear behavior of PV systems pose a challenge in tracking of varying maximum power point. A robust nonlinear controller is required to ensure maximum power point tracking (MPPT) by handling nonlinearities of a system and making it robust against changing environmental conditions. Sliding mode controller is robust against disturbances, model uncertainties and parametric variations. It depicts undesirable phenomenon like chattering, inherent in it causing power and heat losses. In this paper, a supertwisting sliding mode algorithm based nonlinear robust controller has been designed for MPPT of a PV system which not only removes the chattering but also enhances the overall system’s dynamic response. Moreover, supertwisting sliding mode controller is robust against changing environmental conditions like change in temperature and irradiance. Noninverting DC-DC Buck-Boost converter has been used as an interface between source and the load. The efficiency of MPPT of a PV system depends upon the accuracy of reference for peak power voltage, therefore an efficient mechanism for reference generation has also been proposed in this work. The reference for peak power voltage has been generated by using a trained artificial neural network, which is to be tracked by proposed nonlinear controllers. Sliding mode controller (SMC) and synergetic controllers have also been designed for MPPT of a PV system in order to compare them with supertwisting sliding mode controller (ST-SMC). Global asymptotic stability of the system has been ensured by using Lyapunov stability criterion. The performance of the proposed nonlinear controllers has been validated in MATLAB/Simulink ODE 45 environment. ST-SMC has also been compared with recently proposed integral backstepping controller and other conventional MPPT controllers given in the literature. The simulation results show the better performance of ST-SMC in terms of best dynamic response and robustness.

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Critical Evaluation of Offline MPPT Techniques of Solar PV for Stand-Alone Applications

Cited by 20 publications

References 7 publications

Solar tracker transcript—A review

Solar tracker transcript—A review

An H5 Transformerless Inverter for Grid Connected PV Systems with Improved Utilization Factor and a Simple Maximum Power Point Algorithm

Supertwisting Sliding Mode Algorithm Based Nonlinear MPPT Control for a Solar PV System with Artificial Neural Networks Based Reference Generation

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