An improved dynamic maximum power point tracking method for PV application

Yu, Byunggyu

doi:10.1587/elex.11.20130941

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…To resolve this problem a small modification is done in MRAC (i.e., Normalized algorithm is used) which produces satisfactory result. [19][20][21][22][23][24][25]…”

Section: Modified Mrac Algorithmmentioning

confidence: 99%

Temperature Control Design with Differential Evolution Based Improved Adaptive-Fuzzy-PID Techniques

Kaliappan¹,

Illango²,

Muthusamy³

et al. 2023

IASC

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This paper presents the design and performance analysis of Differential Evolution (DE) algorithm based Proportional-Integral-Derivative (PID) controller for temperature control of Continuous Stirred Tank Reactor (CSTR) plant in chemical industries. The proposed work deals about the design of Differential Evolution (DE) algorithm in order to improve the performance of CSTR. In this, the process is controlled by controlling the temperature of the liquid through manipulation of the coolant flow rate with the help of modified Model Reference Adaptive Controller (MRAC). The transient response of temperature process is improved by using PID Controller, Differential Evolution Algorithm based PID and fuzzy based DE controller. Finally, the temperature response is compared with experimental results of CSTR.

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“…To resolve this problem a small modification is done in MRAC (i.e., Normalized algorithm is used) which produces satisfactory result. [19][20][21][22][23][24][25]…”

Section: Modified Mrac Algorithmmentioning

confidence: 99%

Temperature Control Design with Differential Evolution Based Improved Adaptive-Fuzzy-PID Techniques

Kaliappan¹,

Illango²,

Muthusamy³

et al. 2023

IASC

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“…A few studies have been performed in the existing literature for the evaluation of dynamic efficiency of PGSs using soft computing and conventional MPPT methods via EN 50530 test procedure. It is possible to classify these studies using EN 50530 test procedure as conventional MPPT methods, 5–7 modified conventional methods, 8–13 and soft computing MPPT methods 14–19 . The present study proposes an AT2FNN based MPPT approach to improve the dynamic efficiency of PGSs via EN 50530 test procedure and compares it with the conventional IC and P&O MPPT methods.…”

Section: Introductionmentioning

confidence: 99%

Improving dynamic efficiency of photovoltaic generation systems using adaptive type 2 fuzzy‐neural network via EN 50530 test procedure

Ganı

2021

Circuit Theory & Apps

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In recent years, photovoltaic generation systems (PGSs) have been fairly popular thanks to the methods proposed for the improvement of the dynamic efficiency. For a more accurate evaluation of the actual dynamic performance in PGSs, a dynamic maximum power point tracking (MPPT) efficiency test based upon an international test procedure such as the European Procedure EN 50530 is of vital importance. The varying gradient irradiance profile in EN 50530 test procedure causes uncertainties in PGSs, which lead to unstable operating conditions for PGSs. It is a challenging task to provide stable operation for PGSs. To overcome this problem, an effective MPPT method based upon adaptive type 2 fuzzy‐neural network (AT2FNN) is proposed using EN 50530 test procedure specifically designed for the dynamic performance of PGSs. The dynamic efficiency performance of the proposed method is analyzed using comparative simulation studies with conventional MPPT methods such as perturb and observe (P&O) and incremental conductance (IC) in Matlab/Simulink environment. The average dynamic efficiency of PGSs is used as performance criteria in the present study. The numerical results obtained from comparative simulation studies indicated that the proposed method improved average dynamic efficiency by almost 4.3% and 9.2% compared to IC and P&O MPPT methods, respectively. The average dynamic efficiency performance of PGS was considerably improved by the proposed method.

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“…The PV market has also been growing fast over the past decade at a remarkable rate, and the world's cumulative installed PV capacity has reached 100 GW in 2012 and 138.9 GW in 2013 [1]. Currently, a centralized MPPT controller is embedded into the inverter to ensure that the output power of PV array is maximized [2,3]. However, the array's overall efficiency is decreasing dramatically in the case of partial shading, and the hot spot may even destroy the PV panel, thus affect the output power of the whole PV array [4].…”

Section: Introductionmentioning

confidence: 99%

An analog MPPT controller IC together with its application circuit

Liu

Han

Gao

et al. 2014

IEICE Electron. Express

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An analog integrated maximum power point tracking (MPPT) controller which is suitable for distributed MPPT (DMPPT) topology is presented in this paper. Without large numbers of external circuit components, the DC/DC converter together with its MPPT controller can be made small enough to be integrated into the junction box, which is practical and cost effective for DMPPT topology. Besides a negative feedback loop is used in the proposed system to make the output voltage of PV panel less susceptible to fluctuations of irradiation intensity and interference of switching noise. Meanwhile, an improved P&O algorithm is adopted to achieve a fast and precise tracking especially in fast changing weather conditions. Furthermore, the tracking precision is higher than 99.5% under different external environmental conditions.

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An improved dynamic maximum power point tracking method for PV application

Cited by 7 publications

References 7 publications

Temperature Control Design with Differential Evolution Based Improved Adaptive-Fuzzy-PID Techniques

Temperature Control Design with Differential Evolution Based Improved Adaptive-Fuzzy-PID Techniques

Improving dynamic efficiency of photovoltaic generation systems using adaptive type 2 fuzzy‐neural network via EN 50530 test procedure

An analog MPPT controller IC together with its application circuit

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