A novel global maximum power point tracking algorithm based on Nelder-Mead simplex technique for complex partial shading conditions

Ye, Song Pei; Liu, Yi Hua; Wang, Shun Chung; Pai, Hung Yu

doi:10.1016/j.apenergy.2022.119380

Cited by 9 publications

(3 citation statements)

References 40 publications

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“…Though, the validation of the methodology is pending for three‐phase grid‐integrated scenarios. [ 11 ] An approach based on improved squirrel search algorithm presented, exhibiting a 50% improvement in tracking time over the conventional SSA. Furthermore, the suggested technique was evaluated against the widely recognized GA and PSO, using three different shading conditions (wherein 3 PV modules are linked in a series).…”

Section: Introductionmentioning

confidence: 99%

Framework of Maximum Solar Energy Conversion Using Lyapunov‐Based Model Reference Adaptive Control Technique in Stochastic Weather Conditions

Singh,

Akella,

Manna

2023

Energy Tech

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The solar photovoltaic (PV) energy generation technology has grown rapidly. Herein, a novel continuous‐time Lyapunov‐based model reference adaptive control (LB‐MRAC) technique is suggested for determining the duty cycle of boost converter to maintain maximum power point (MPP) of the solar PV panel. For ensuring the fast‐tracking speed, the reference voltage of, respectively, MPP is calculated using perturb and observe (PO) and input to the MRAC technique. Using MATLAB/Simulink, the performances of the LB‐MRAC maximum power point tracking are comparatively analyzed with PO, incremental conductance, and adaptive neuro‐fuzzy inference system under diverse testing modes such as stand‐alone, partial shading, grid integrated, and real time. The proposed technique tracks MPP in just 3.7 ms having tracking efficacy between 99.15% and 99.59% under highly fluctuating irradiance and temperature with load uncertainties. In partial shading mode, four patterns (3 × 1 PV string) are devised and determined where that the suggested approach monitors the global MPP in merely 0.04 s with the highest power tracked and the least amount of shading loss. Next, the efficacy is checked in a three‐phase 50 kW grid‐integrated mode under realistic weather. Finally, the performance of the suggested continuous‐time LB‐MRAC technique is experimentally corroborated employing OPAL‐RT(OP4510) in the real‐time mode.

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Section: Introductionmentioning

confidence: 99%

Framework of Maximum Solar Energy Conversion Using Lyapunov‐Based Model Reference Adaptive Control Technique in Stochastic Weather Conditions

Singh,

Akella,

Manna

2023

Energy Tech

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“…At present, many GMPPT algorithms based on metaheuristic techniques have been proposed in the literature. The metaheuristic methods such as squirrel search, 3 most valuable player (MVP), 4 firefly algorithm (FFA), 5 Nelder–Mead simplex (NMS), 6 and modified rat swarm optimization (MRSO), 7 can solve the multi‐peak problem under PSC. However, due to the selection of initial points, tuning of control parameters, and heavy calculation burden, these techniques are difficult to implement.…”

Section: Introductionmentioning

confidence: 99%

An improved 0.8Voc model‐based global maximum power point tracking algorithm for photovoltaic system

Nadeem,

Ahmed Sher,

Faisal Murtaza

et al. 2023

Circuit Theory & Apps

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In this paper, a low‐cost and high‐speed partial shading condition (PSC) detection scheme and global maximum power point tracking (GMPPT) technique are presented. The proposed technique detects the PSC using a low‐cost voltage sensor without setting any threshold parameter. The proposed GMPPT algorithm utilizes the 0.8 model along with the load‐line observation to skip the unwanted interval of – curve. Moreover, in case of dynamic shading, a smart scanning mechanism is used along with the load‐line observation to reduce the voltage iterations which leads to an improvement in tracking speed. The proposed technique is implemented in a Matlab/Simulink environment and compared with the conventional 0.8 method and accurate PSC detection method. The results indicate the following advantages of the proposed algorithm: (1) iteration free and accurate detection of PSC and uniform irradiance condition, (2) enhancement in average tracking time by 67.44% and 69.48%, and (3) improvement in average transient efficiency by 17.36% and 21.25% compared with 0.8 method and accurate PSC detection method. Besides, the experimental results depict that the proposed method enhances the average tracking time by 68.6% and 72.69% and improves the average transient efficiency by 17.62% and 15.06% compared with 0.8 method and accurate PSC detection method, respectively.

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“…These complexities can be solved through the implementation of modified maximum power point tracking (MPPT) algorithms based on various optimization techniques that have the capability of tracking the actual maximum power point from distorted curves [9]. Some recently proposed modified MPPT algorithms are based on the Neighboring Pixel technique [10], Nelder-Mead simplex technique [11], hybrid GWO-PSO technique [12], Social Grouping technique [13], and many more [14]. These algorithms have higher tracking speed, along with an efficiency of more than 90%; however, practical implementation, cost, algorithm complexities and adaptability to shading are the major constraints affecting the reliability of these techniques.…”

Section: Introductionmentioning

confidence: 99%

Reliability Enhancement of Photovoltaic Systems under Partial Shading through a Two-Step Module Placement Approach

Aljafari

Satpathy

Madeti³

et al. 2022

Energies

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Partial shading has a negative impact on photovoltaic systems by forcing the connected modules to generate lower power, creating severe unexpected power losses. To resolve this issue, numerous solutions have been proposed, among which configuration modification has recently attracted a greater audience. The preliminary approach to module reconfiguration was based on the alteration of electrical connections through switches, which introduces lag due to the large number of switches and sensors, complex algorithms, and impractical application. Hence, static techniques are considered to be a cost-effective, low-complexity and easy-to-adopt solution for efficiently reducing the losses due to shading. Hence, this paper proposes a two-step module replacement approach that is validated under multiple partial shading conditions, and the performance is compared with various conventional and hybrid configurations and a static electrical reconfiguration technique using mathematical analysis, comparative parameters and power curves analysis. The validation was performed using the MATLAB platform for two system sizes—6 × 6 and 18 × 3—proving its applicability for arbitrary system sizes. On the basis of the depth investigation, an average power increase of 17.49%, 14.47%, and 14.12% for the two-step approach compared to the conventional, hybrid and electrical reconfiguration was observed in the partial shading cases considered.

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A novel global maximum power point tracking algorithm based on Nelder-Mead simplex technique for complex partial shading conditions

Cited by 9 publications

References 40 publications

Framework of Maximum Solar Energy Conversion Using Lyapunov‐Based Model Reference Adaptive Control Technique in Stochastic Weather Conditions

Framework of Maximum Solar Energy Conversion Using Lyapunov‐Based Model Reference Adaptive Control Technique in Stochastic Weather Conditions

An improved 0.8Voc model‐based global maximum power point tracking algorithm for photovoltaic system

Reliability Enhancement of Photovoltaic Systems under Partial Shading through a Two-Step Module Placement Approach

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