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2nd IEEE International Conference on Control, Computing, Communication and Materials (ICCCCM)

作者： Nigam, Akhil Gupta, Abhishek Kumar IFTM Univ Elect Engn Moradabad UP India

ISBN: (纸本)9781467390842

Among the renewable energy sources, the energy obtained by the photovoltaic effects is to be considered the most sustainable energy source using Photovoltaic (PV) cell because of its affluence and pervasiveness. Basically the use of PV cells in solar energy generation are widely used because they directly convert the sun's light into electrical energy. The main drawback is that the solar radiation changes with time to time. So there are many maximum power point tracking algorithms to track maximum power point. One of the most widely used algorithm is perturb and observe algorithm. It has advantage of less complexity and less maintenance. But the problem is that this algorithm cannot perform due to sudden change in temperature and solar irradiance. Therefore there is an algorithm which is called improved perturb and observe or variable step size algorithm which overcomes the drawbacks of conventional perturb and observe algorithm. This algorithm has better efficiency and faster response rather than conventional perturb and observe algorithm. All the simulations are done by using MATLAB/SIMULINK.

关键词： Photovoltaic Module Maximum Power Point Tracking perturb & observe algorithm DC-DC converters MATLAB

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A Novel MPPT Method Based on Crow Search algorithm Combined with perturb & observe for Partial Shading Conditions 12

A Novel MPPT Method Based on Crow Search Algorithm Combined ...

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12th IEEE Energy Conversion Congress and Exposition-Asia (ECCE-Asia)

作者： Tomar, Yashasvi Lian, K. L. Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei Taiwan

ISBN: (纸本)9781728163444

Due to clouds, buildings, trees or any other blocking object, the shaded modules of the photovoltaic (PV) array receives less solar irradiation compared to unshaded modules. This causes occurrence of multiple peaks in the power-voltage characteristic curves (P-VCC). In this paper, we proposed a new MPPT method by combining crow search algorithm (CSA) and perturb and observe method to reduce the tracking time and increases tracking efficiencies. Experimental results show that the proposed method can drastically decrease the tracking time by more than 50%, while the tracking accuracy is also better, as compared to those of CSA.

关键词： Crow Search algorithm Maximum Power Point Tracking perturb & observe algorithm Partial Shading

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Active Interface for Piezoelectric Harvesters Based on Multi-Variable Maximum Power Point Tracking

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2020年第7期67卷 2503-2515页

作者： Costanzo, Luigi Lo Schiavo, Alessandro Vitelli, Massimo Univ Campania Luigi Vanvitelli Dept Engn I-81031 Aversa Italy

An active electronic interface for maximizing the power extracted from a resonant piezoelectric vibration harvester by means of a multi-variable Maximum Power Point Tracking (MPPT) technique is presented. The input voltage of the electronic interface is dynamically adapted in order to ensure that the maximum power is extracted even if the vibration characteristics change with time. The digital control unit updates the amplitude, the phase and the frequency of such an input voltage without requiring the high-frequency sampling and elaboration of the harvester current or voltage. The unit exploits only the information on the vibration frequency kept from a small piezo accelerometer and a low-frequency sampling of the DC current. The implemented algorithm is as simple as the widespread perturb & observe algorithm, but it allows the extraction of significantly more power from the harvester. The power increase for a piezoelectric harvester with the proposed electronic interface is investigated both theoretically and experimentally. By using a commercially available piezoelectric harvester, the maximum power tracking performance of the proposed active interface is experimentally compared with that of a usual AC/DC converter with perturb & observe MPPT control.

关键词： Vibrations Maximum power point trackers Impedance Voltage control Switches Resistance Piezoelectric vibration energy harvesters power electronic interface maximum power point tracking perturb & observe algorithm

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Investigation of High gain MIC power converter for multicrystal PV module employing fuzzy logic technique

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AUTOMATIKA 2016年第3期57卷 627-637页

作者： Vengatesh, R. Pon Rajan, S. Edward MEPCO SCHLENK Engn Coll Dept Elect & Elect Engn IN-626005 Sivakasi Tamil Nadu India

A Mutual Inductive Coupled (MIC) DC-DC power converter circuit for Photo-Voltaic (PV) system employing fuzzy logic based maximum power point tracking is presented in this research paper. The proposed DC-DC converter has been modelled and simulated using Matlab-simulink environment for obtaining high gain. The mutually coupled inductor uses one core instead of two or more, which reduces size of the converter. A passive regenerative snubber is exploited for absorbing the energy of stray inductance and also the capacitors are charged in parallel and discharged in series through the mutual coupled inductor for achieving high voltage gain of this converter. The voltage gain characteristics of the MIC converter have been studied for various coupling coefficient, turns ratio of two-winding mutual inductor and duty cycle. Moreover, PV system is conveniently interfaced with proposed power converter for maximizing the solar energy yield and analysed by employing perturb & observe (P&O) and fuzzy logic based MPPT algorithms under various operating conditions. The obtained results reveal that, the fuzzy controller provides good improvement in tracking of maximum power and helps to extract considerable amount of additional solar energy from a PV module as compared with P&O algorithm.

关键词： Photo-Voltaic system perturb & observe algorithm Mutual-Inductive Core Fuzzy Logic Control

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A Fast MPPT algorithm for Smart Grid-PV Connected System Based on Multiple Sparse-Aware Time-Varying Stepsize Adaptation Technique 10

A Fast MPPT Algorithm for Smart Grid-PV Connected System Bas...

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10th International Renewable Energy Congress (IREC)

作者： Abdallatif, Haider Abdel-Qader, Ikhlas Harb, Ahmad Western Michigan Univ Elect & Comp Engn Dept Kalamazoo MI 49008 USA German Jordanian Univ Energy Engn Dept Amman Jordan

ISBN: (纸本)9781728101392

The performance of solar photovoltaic systems integrated into the smart grid is dependent on utilization of the Maximum Power Point Tracking (MPPT) algorithm. In order to enhance the tracking ability, attaining stability, and terminating the possibility of misestimating a decreasing or increasing solar photovoltaic voltage, a multiple sparse-aware time-varying stepsize adaptation algorithm for the conventional MPPT method is proposed in this paper. The underlying purpose of this proposed technique, rather than using currently estimated power values, is to predict the power values of solar PV system to maximize efficiency and attain better performance. The prediction of power builds on an L-1 formerly estimated values of the PV voltage. Furthermore, the adaptation process is based on a time-adjusting stepsize that modifies according to the log value of the individual input voltage of the PV system to the adaptive filter. The proposed approach offers a fast-tracking capability and possesses a quick reaction to environmental alterations such as temperature and irradiance. Simulations show the superiority of the proposed technique in terms of supplying instantaneous tracking ability to the maximum power point, maintaining low steady-state error, and achieving a robust performance under rapid variations of atmospheric circumstances compared with standard algorithms.

关键词： Solar Photovoltaic System Adaptive Linear prediction Sparse Systems Time adjusting stepsize LMS algorithms MPPT perturb & observe algorithm

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An Improved MPPT Controller for Photovoltaic System Based on Predictive Current Control 7

An Improved MPPT Controller for Photovoltaic System Based on...

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7th International Renewable and Sustainable Energy Conference (IRSEC)

作者： Sahbani, Sana Mahmoudi, Hassane Hasnaoui, Abdennebi Mohammed V Univ Elect Power & Control Team Dept Elect Engn Mohammadia Sch Engineers Rabat Morocco Higher Natl Sch Mines Electromech Dept Rabat Morocco

ISBN: (纸本)9781728151526

Maximum Power Point Tracking (MPPT) gains much attention as an important optimisation field for the photo-voltaic (PV) systems. The focus of this paper is to introduce and analyze a novel fast MPPT strategy based on predictive current control. The overall system is designed to improve the energy control performance in tracking the maximum power point (MPP) of a photovoltaic array under irradiation changes condition and fixed load and will be compared to the classical perturb and observe technique. The proposed control scheme and the classical perturbe and observe (P&O) technique are designed for residential application and implemented in MATLAB/SIMULINK *** obtained results proves the advantages of this proposed controller in the stability of its output voltage with fast response speed to the required parameters and without power losses.

关键词： Photovoltaic system Maximum power point tracking Boost converter perturb & observe algorithm Predictive current control

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Neural Network based MPPT system for Standalone PV system 46

Neural Network based MPPT system for Standalone PV system

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46th Annual Conference of the IEEE-Industrial-Electronics-Society (IECON)

作者： Pindi, Nikhil Joshi, Siddharth Mehta, Bhinal Pandit Deendayal Petr Univ Elect Engn Dept Gandhinagar Gujarat India

ISBN: (纸本)9781728154145

This article deals with maximum power point tracking method for the photovoltaic system using Neural Network based Proportional Integral Gain controller. The maximum power point tracking algorithms are coded in the functional block of MATLAB environment. The simulation analysis for two well-known MPPT techniques which comprises of the perturb & observe (P & O) and the Incremental Conductance (INC) are performed and their results are obtained using fixed gain controller. The results are then compared with neural network based PI controller. The parameters like DC voltage drift, DC output power, and tracking time for achieving DC voltage response to gain maximum power point are considered in this study. The simulation and its analysis of above mentioned MPPT methods are coded and simulated on 1.5kW PV array which acts as a standalone power generating system. The system is tested for various permutations and combinations of climatic conditions such as the solar insolation and the temperature of PV junction. The simulation results proves that the proposed NN controller provides better transient and steady-state response in voltage for the standalone PV power generating system during sudden environmental changes as compared to fixed gain controllers.

关键词： Drift analysis Incremental Inductance algorithm Neural Network controller Output power analysis perturb & observe algorithm PI controller Tracking time analysis

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