A Novel Modified Sine-Cosine Optimized MPPT Algorithm for Grid Integrated PV System under Real Operating Conditions

Padmanaban, Sanjeevikumar; Priyadarshi, Neeraj; Holm‐Nielsen, Jens Bo; Bhaskar, Mahajan Sagar; Azam, Farooque; Sharma, Amarjeet Kumar; Hossain, Eklas

doi:10.1109/access.2018.2890533

Cited by 125 publications

(31 citation statements)

References 27 publications

(28 reference statements)

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“…The Mamdani type FLC MPPT method has been presented in [38], and its performance was compared to the PSO-based MPPT method. Additional optimization methods have been proposed in the literature for enhancing the MPPT performance in several applications [39]- [41]. Several hybrid optimization algorithms-FLC methods have been proposed in the literature for PV applications [42]- [44].…”

Section: Introductionmentioning

confidence: 99%

A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells

Aly

Rezk

2020

IEEE Access

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Recently, fuel cells (FCs) have found vast employment in several applications. However, unique maximum power point tracking (MPPT) exists for each set of operating condition for the efficient operation of FCs. Therefore, this paper presents a differential evolution optimization algorithm (DEOA)based optimized fuzzy-logic (OFLC) MPPT method for enhancing the maximum power extraction of FCs. The various settings for the membership functions (MFs) of the input and output variables are optimized in the proposed method. Thence, more degree-of-freedom can be employed for accurate and fast tracking of the optimal power point of the proton exchange membrane FCs (PEMFCs). Whereas, existing MPPT methods in the literature for FC applications suffer from decreased degree-of-freedom for optimizing their performance, and lack of adaptivity, which obstructs their suitability for the wide operating range of FCs. The superiority and performance effectiveness of the proposed OFLC MPPT method have been validated and compared with the most prevalent techniques in the literature. Moreover, the robustness and sensitivity of the proposed OFLC MPPT method have been tested at various step changes in the water content of membrane and various temperature changes. Moreover, the proposed design of the suggested OFLC MPPT is general and it can be implemented on low-cost microcontrollers. The results verify the superior performance of the proposed OFLC MPPT method from the accurate and fast MPPT extraction, smooth output power with low ripple, and simplicity of the design point of views. INDEX TERMS Differential Evolution Optimization Algorithm (DEOA), fuel cell (FC), fuzzy logic control (FLC), maximum power point tracking.

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Section: Introductionmentioning

confidence: 99%

A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells

Aly

Rezk

2020

IEEE Access

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“…They vary in many aspects, such as complexity, cost, sensors required, implementation hardware, convergence speed or range of effectiveness [12]. It has been observed in recent years that there is a passion to propose new MPPT techniques based on artificial intelligence [13], [14] or modified hybrid optimizations [15], [16] to increase the efficiency of the energy production of photovoltaic system. However, in most cases, there is no need to use a more complicated or a more expensive algorithm, where a simpler and less expensive system can result in similar outputs.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control of a PMSM Drive Using EKF for Wide Speed Range Supplied by MPPT Based Solar PV System

Anwer¹,

Omar²,

Bakır³

et al. 2020

ELEKTRON ELEKTROTECH

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In photovoltaic (PV) applications, employing Surface-Mounted Permanent Magnet Synchronous Motor (SMPMSM) can be a suitable option, especially for solar pumping and Heating, Ventilation, and Air Conditioning (HVAC) applications. However, when the motor loads are supplied from varying and limited energy sources, such as solar PV, it is vital to determine operating behavior and provide a stable operation for a wide range of operating conditions. In this study, the operating stability of Permanent Magnet Synchronous Motor (PMSM) was improved by sensorless Field Oriented Control (FOC) based on Extended Kalman Filter (EKF). In order to achieve optimal operation of the PV system under various meteorological conditions and load variations, an incremental conductance approach based maximum power point tracking (MPPT) system was introduced. For estimation of the speed of PMSM in wide speed range, instead of using a hybrid estimation strategy, fixed d-axis current with EKF was applied to the low-speed regions of SMPMSM, while in the medium and high speed regions, the d-axis current was set to zero. The major contributions of this paper are to reduce complexity of the control method and testing the method in a photovoltaic system with MPPT operation. The complete system was modeled in a Matlab/Simulink environment and simulation results are shown according to a wide range of operating conditions.

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“…Though the tracking efficiency is improved but tracking speed and accuracy is still challenging to track the new mpp, at sudden varying irradiance condition. Some researchers focused on mathematical based theorem for mppt algorithms [16][17][18][19][20][21][22]. In [16], the authors modified a conventional INC algorithm by applying a residual theorem; here the fluctuation around the MPP have been minimized to apply a minimum residue values of algorithm by setting a proper gain value of controller.…”

Section: Introductionmentioning

confidence: 99%

“…Its computation time is higher in comparison to the conventional algorithm. Likewise some of the soft computing based algorithms are developed in [19][20][21][22]. In these methods, the oscillation around MPP is reduced, but the computation time increases because of learning based adaptive step size perturbation.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Resistance Perturbation Based MPPT Algorithm for Photovoltaic Applications

et al. 2020

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This paper proposes a Resistance perturbation based maximum power point tracking (MPPT) with an adaptive control limit algorithm to extract the maximum power from solar photovoltaic (PV) array. This algorithm consists of two main functions, namely 1) resistance perturbation & observation (RP&O) and 2) adaptive resistance control (ARC) limit. The RP&O operates the PV array at maximum power point (MPP), and the ARC limit continuously monitors the resistance of the PV R pv to determine the operating limit of MPP. The ultimate aim of proposing this algorithm is to reduce the oscillations and improve MPP's tracking performance for sudden variation in temperature and irradiance conditions. Furthermore, it does not require an expensive pyranometer or temperature sensor to track the MPP of the PV array. This paper also compares the proposed and conventional MPPT algorithm's performance. Its validation results in both MATLAB/Simulink and experimental studies are presented under constant and sudden changes in irradiance conditions.

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A Novel Modified Sine-Cosine Optimized MPPT Algorithm for Grid Integrated PV System under Real Operating Conditions

Cited by 125 publications

References 27 publications

A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells

A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells

Sensorless Control of a PMSM Drive Using EKF for Wide Speed Range Supplied by MPPT Based Solar PV System

An Adaptive Resistance Perturbation Based MPPT Algorithm for Photovoltaic Applications

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