Architectural and design issues on optimal management of photovoltaic pumping systems

Faldella, E.; Cardinali, G.C.; Calzolari, P.U.

doi:10.1109/41.97559

Cited by 15 publications

(5 citation statements)

References 3 publications

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“…(3) The last type is data based reconfiguration algorithms. They include the traditional methods, such as lookup tables and irradiance analog comparators [26,27]. Further, nowadays some artificial intelligence algorithm based schemes are proposed, for example, fuzzy algorithm in [28,29], neural networks algorithm in [30,31].…”

Section: Introductionmentioning

confidence: 99%

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Followed The Regularized Leader (FTRL) prediction model based photovoltaic array reconfiguration for mitigation of mismatch losses in partial shading condition

Gao

Deng

Zheng

et al. 2021

IET Renewable Power Gen

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Non-uniform irradiance, for example, partial shading, would affect the performance of the whole Photovoltaic (PV) array and reduce the output power. Since the layout of PV array is also an important factor influencing the performance of PV array, reconfiguration scheme has been researched popularly. Since plenty of array reconfiguration techniques are not realistic to be implemented in reality, in this paper considering the simplicity, robustness and economical aspects, a Followed The Regularized Leader algorithm (FTRL) regression prediction model based switches controlled PV array reconfiguration method is proposed to enhance the power output from solar PV array and alleviate the effects of partial shadings. The proposed scheme has no additional labor and wire requirement, since the proposed connection architecture of PV array involves no complex switch matrix design. Subsequently, to testify the performance of the proposed scheme, simulations with various shades in different PV arrays are made and evaluation parameters, for example, Fill Factor (FF) and mismatch loss are calculated. Furthermore, outdoor experiments are conducted to validate the simulation and the analyses. Besides, extensive analyses of cost analysis and energy savings are given. At last, a comprehensive evaluation is performed to check the quality of the proposed scheme by comparing with various techniques in literature.

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Section: Introductionmentioning

confidence: 99%

“…FIGURE27 The overall array power output in the different partial shading cases before and after reconfiguration. The arrow here means PV array reconfiguration takes place…”

mentioning

confidence: 99%

Followed The Regularized Leader (FTRL) prediction model based photovoltaic array reconfiguration for mitigation of mismatch losses in partial shading condition

Gao

Deng

Zheng

et al. 2021

IET Renewable Power Gen

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show abstract

“…Tested on a 6 × 4 PV array, a branch and bound algorithm was employed to minimize the cost, while the algorithm still needs much computational efforts. Tabular search method was developed in [18] and tested for a small scale PV array (24 PV modules), it is almost impossible to use this method for large PV arrays due to its computational complexity. For a 3×2 PV array, reference [14] reduced the searching space by fixing the number of modules per row, while paper [19] developed an exhaustive searching algorithm in a 3×2 PV array.…”

Section: Introductionmentioning

confidence: 99%

“…Although references [11][12][13][14][15][16][17][18][19][20][21][22] present various on-site reconfiguration methods, these studies either assume the uniformly distributed fault conditions, or rely on exhaustive searching techniques. Paper [23] proposed a fast online reconfiguration algorithm which can be applied to non-uniformly distributed fault/aging conditions, and it simplifies computational complexity by using approximated values of maximum power point current and voltage to screen the maximum power point.…”

Section: Introductionmentioning

confidence: 99%

“…The fault conditions of those cell-units in a module may be different, and in most cases, these cell-units can be grouped into three sub-modules, each sub-module has roughly the same fault conditions. Although a few algorithms from [11][12][13][14][15][16][17][18][19][20][21][22][23] can solve the non-uniform fault/aging conditions, they are usually not effective to solve PV rearrangement problems with extremely large sizes and potentially widely distributed aging conditions. Therefore, it is necessary to formulate this rearrangement problem as an explicitly defined nonlinear integer programming problem so that any efficient optimization algorithm, either an existing one or some efficient one to be developed in the future, can be applied to find the maximum power.…”

Section: Introductionmentioning

confidence: 99%

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Non-Uniform Aged Modules Reconfiguration for Large-Scale PV Array

Zhang

et al. 2017

IEEE Trans. Device Mater. Relib.

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Maximum Power Point Tracking Techniques

Balato

Costanzo

Vitelli

2016

Wiley Encyclopedia of Electrical and Electronics Engineering

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An essential objective for many photovoltaic (PV) applications is represented by the so‐called maximum power point tracking (MPPT). Under uniform irradiance and ambient temperature conditions, the power versus voltage characteristic of a PV array is characterized by the presence of a unique point, termed maximum power point (MPP), where the power provided by the array itself attains its maximum value. Any other operating point leads to the extraction of a smaller PV energy. Therefore, in order to avoid the waste of PV energy, the working of the array in its MPP is mandatory. Since the position of the MPP continuously changes in time as a function of irradiance and temperature, it is necessary to continuously track it. Such an objective can be obtained by using proper MPPT control techniques. A large number of papers have appeared in the scientific literature during the last 15 years on the issue of MPPT, and as a result it may be difficult to decide the best technique for a given application. Therefore, this survey may hopefully be beneficial to students, researchers, and practitioners in PV systems. The article overviews the representative PV MPPT algorithms, organized into four main groups. The first group contains the so‐called “hill climbing” techniques, the second group contains the “curve fitting” techniques, the third group contains the “dynamical” techniques, and the fourth group includes all the techniques that do not belong to the first three groups.

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Architectural and design issues on optimal management of photovoltaic pumping systems

Cited by 15 publications

References 3 publications

Followed The Regularized Leader (FTRL) prediction model based photovoltaic array reconfiguration for mitigation of mismatch losses in partial shading condition

Followed The Regularized Leader (FTRL) prediction model based photovoltaic array reconfiguration for mitigation of mismatch losses in partial shading condition

Non-Uniform Aged Modules Reconfiguration for Large-Scale PV Array

Maximum Power Point Tracking Techniques

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