Voltage Track Optimizer Based Maximum Power Point Tracker Under Challenging Partially Shaded Photovoltaic Systems

Deboucha, Houssam; Kermadi, Mostefa; Mekhilef, Saad; Belaid, Sofia Lalouni

doi:10.1109/tpel.2021.3089658

Cited by 19 publications

(9 citation statements)

References 24 publications

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“…Several recent works [17,[51][52][53] introduced unique limiting search space region and skipping strategies. After determining search region, the process of search in these works is based on traversing or gradient iteration to find MPP.…”

Section: Other Modification Measuresmentioning

confidence: 99%

“…Deboucha et al in refs. [17] and [53] adopted limiting search space region with different mechanisms of computing the current of the section dividing point (I sdp ), as:…”

Section: Other Modification Measuresmentioning

confidence: 99%

“…in refs. [17] and [53] adopted limiting search space region with different mechanisms of computing the current of the section dividing point ( I sdp ), as:

\begin{equation} {\mathrm{Region}}\ = \left[ {\frac{{{P}_{{\mathrm{GMPP}}}\left( t \right)}}{{m \cdot {I}_{{\mathrm{sc}}}}},\frac{{{P}_{{\mathrm{GMPP}}}\left( t \right)}}{{{I}_{{\mathrm{sdp}}}}}} \right] \end{equation}

…”

Section: Gfppt Strategy Based On Mcpamentioning

confidence: 99%

See 2 more Smart Citations

A novel global FPPT strategy for PV system under partial shading condition

Xing,

Jia,

Yang

2023

IET Renewable Power Gen

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Flexible power point tracking (FPPT) is a common and significate photovoltaic control problem under partial shading conditions. Based on CPP and MPP distribution analysis, both constant power point tracking and maximum power point tracking could be mathematically described by a single objective optimization. As one of the recent meta‐heuristic algorithms, which avoid the limitations of conventional scanning methods, the carnivorous plant algorithm (CPA) solves non‐convex optimization problems with fast speed, high accuracy, and simple calculation. However, it exhibits several drawbacks such as inappropriate parameters, over‐searching, and feasible solution ignored issues. Therefore, a global FPPT strategy based on modified CPA (mCPA) is proposed, which includes a search objective integration, efficient non‐convex search space skipping strategy, and adaptive tuning parameters according to sensitivity analysis. By statistical experiments compared with eight popular meta‐heuristic algorithms, the mCPA can correctly converge to the global MPP under various scenarios with the highest accuracy of 99.0%. Meanwhile, the observations of dynamic experiments demonstrate the effectiveness of the proposed strategy in terms of fast time response (0.5–3 s) for global FPPT under various uniform and non‐uniform insolation conditions.

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Section: Other Modification Measuresmentioning

confidence: 99%

“…Deboucha et al in refs. [17] and [53] adopted limiting search space region with different mechanisms of computing the current of the section dividing point (I sdp ), as:…”

Section: Other Modification Measuresmentioning

confidence: 99%

“…in refs. [17] and [53] adopted limiting search space region with different mechanisms of computing the current of the section dividing point ( I sdp ), as:

\begin{equation} {\mathrm{Region}}\ = \left[ {\frac{{{P}_{{\mathrm{GMPP}}}\left( t \right)}}{{m \cdot {I}_{{\mathrm{sc}}}}},\frac{{{P}_{{\mathrm{GMPP}}}\left( t \right)}}{{{I}_{{\mathrm{sdp}}}}}} \right] \end{equation}

…”

Section: Gfppt Strategy Based On Mcpamentioning

confidence: 99%

See 1 more Smart Citation

A novel global FPPT strategy for PV system under partial shading condition

Xing,

Jia,

Yang

2023

IET Renewable Power Gen

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“…Among these peaks, there exist several local maximum power points (LMPPs) and a single global maximum power point (GMPP) . Traditional MPPT approaches, such as perturbation and observation (P&O) (Kavya and Jayalalitha, 2021), incremental conductance (InC), short circuit current (SCC) technique (Reisi et al, 2013), constant voltage (CV) technique, and reference voltage based track optimizer (Deboucha et al, 2021;Li et al, 2022), track the GMPP using a defined step length and are based on a single peak P-V curve. These methods can find the MPP quickly under the uniform irradiation conditions (UICs) because of their excellent local search ability (Kjaer, 2012;Li H et al, 2018;Ahmad et al, 2019), but they may find the LMPP instead of the GMPP under the PSCs due to the lack of global optimization ability.…”

mentioning

confidence: 99%

Comparative study of modern heuristic algorithms for global maximum power point tracking in photovoltaic systems under partial shading conditions

Wang

Man

et al. 2022

Front. Energy Res.

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Under partial shading conditions (PSCs), photovoltaic (PV) generation systems exhibit multiple local and a single global maximum power point. Consequently, global maximum power point tracking (GMPPT) is required to improve the performance of PV systems in such scenarios. This paper comparatively studies and evaluates the tracking performance of modern heuristic-optimization-based GMPPT techniques. Monte Carlo method is used to statistically analyze different methods. Simulation and experimental results indicate that many of the algorithms have difficulties in balancing the explorative and exploitative searching behaviors. Therefore, we propose a variable vortex search (VVS), which is capable of improving the performance of GMPPT by using a variable step size and deterministic starting points. This paper will aid researchers and practical engineers to gain a thorough understanding on how to use modern heuristic algorithms for maximum power out of PV systems. Furthermore, it offers a comprehensive guidance on how to perform efficiently GMPPT in the PV systems under PSCs.

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“…This is necessary because under partial shading conditions, the generation system of the solar PVs experience multiple local and single GMPPT. Therefore, the effective control of the GMPPT would definitely enhance the solar PV performance during partial shading conditions (Deboucha et al, 2021). In this study, the Monte Carlo technique was employed to statistically analyze the different scenarios considered.…”

mentioning

confidence: 99%

Editorial: Advanced intelligent control strategies for solar and wind farms

Okedu

2022

Front. Energy Res.

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This research topic addressed new and advanced techniques in controlling, operating and augmenting solar photovoltaics (PVs) and wind turbines low voltage or fault ride through scenarios. This is necessary for the effective operation of solar and wind farms based on the stipulated grid codes (requirements).The first paper on this research topic (Okedu) investigated three types of Fault Current Limiters (FCLs) that were tied to the network side of a Permanent Magnet Synchronous Generator (PMSG) wind turbine. These three FCLs are; Series Dynamic Braking Resistor (SDBR), traditional Bridge Fault Current Limiter (BFCL), and Capacitive Bridge Fault Current Limiter (CBFCL). The modeling of the PMSG wind turbine (Okedu and Barghash 2021), and those of the FCLs were done and analyzed in the wind generator considering severe threephase to ground fault, in order to test the robustness of the various control strategies. The results show improved performance of the PMSG wind turbine variables when the same conditions of operation were employed, for fair comparison of the three FCL schemes.The second paper presented wind power system operational state assessment considering Particle Swarm Optimization (PSO), Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE) models (Zhang et al.). In this paper, the hybrid approach of AHP and PSO models were used in optimizing the weights in the comprehensive evaluation of the operational status of wind power system. This strategy would help in addressing the challenges of the AHP weights determination process based on the judgment matrix (Li et al., 2021), where the values of the weights and their consistencies are of paramount interest. The earlier solutions in the literature were not able to enhance these challenges, however, this study employed a comparison chart of the consistency indexes that were computed at different degrees. Furthermore, for several judgment indexes scenarios, in a sub-project layer having serious deviation, a degradation index was introduced and fuzzy comprehensive judgment strategy was applied accordingly. This would improve the effective establishment of wind power system operational status assessment models.

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Voltage Track Optimizer Based Maximum Power Point Tracker Under Challenging Partially Shaded Photovoltaic Systems

Cited by 19 publications

References 24 publications

A novel global FPPT strategy for PV system under partial shading condition

A novel global FPPT strategy for PV system under partial shading condition

Comparative study of modern heuristic algorithms for global maximum power point tracking in photovoltaic systems under partial shading conditions

Editorial: Advanced intelligent control strategies for solar and wind farms

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