A new hybrid method of MPPT for photovoltaic systems based on FLC and three point-weight methods

Bahrami, Milad; Zandi, Majid; Gavagsaz, R.; Nahid‐Mobarakeh, Babak; Pierfederici, Serge

doi:10.1109/pedstc.2016.7556902

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…The duty-cycle is increased if two of the points are positively weighted, is decreased if negative. The closest point to MPP is reached when the total weight is zero [3]. In Fig.…”

Section: Three-point Weight Comparison (Tpwc)mentioning

confidence: 94%

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A Review and Classification of Most Used MPPT Algorithms for Photovoltaic Systems

Tozlu¹,

Çalik²

2021

Hittite J. Sci. Eng.

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E nergy, which can be defined as the ability to do work in its basic form, is in an indispensable position to sustain human life, meet their needs, and increase the quality of life. Over time, there is a serious increase in the total energy consumed in the world due to many reasons such as the increase in the human population, changes in people's lifestyle, increase in production, and technological developments. Energy production should be increased in order to meet the energy needs. Approximately 80% of the energy produced in the world is produced in power plants where natural gas and coal are used as the main energy source [1]. It is thought that toxic gases such as carbon, sulfur, heavy metals mixed into the soil and many other wastes released into the atmosphere during energy production from these limited fossil resources on earth will have negative effects on nature and living things over the years. Renewable energy sources, especially solar energy, are seen as an important alternative here. Because the sun sends more than the energy consumed in the world as clean energy every day. Solar energy has gained a place as a serious choice with its advantages such as very low operating and maintenance costs and being the most Article History:

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“…The duty-cycle is increased if two of the points are positively weighted, is decreased if negative. The closest point to MPP is reached when the total weight is zero [3]. In Fig.…”

Section: Three-point Weight Comparison (Tpwc)mentioning

confidence: 94%

“…In addition to all these advantages, it also has disadvantages such as low efficiency, especially in energy conversion, and high setup cost. Numerous studies are carried out in order to obtain maximum efficiency from photovoltaic (PV) panels [2][3][4].…”

mentioning

confidence: 99%

A Review and Classification of Most Used MPPT Algorithms for Photovoltaic Systems

Tozlu¹,

Çalik²

2021

Hittite J. Sci. Eng.

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“…Therefore, it is essential to employ an MPPT algorithm to capture the MPP and ensure high efficiency in solar power generation systems. Traditional MPPT algorithms include the open-circuit voltage method, short-circuit current method, hill-climbing (HC) algorithm, P&O method, and three-point weight method [27][28][29][30][31]. The advantages of these methods are their simplicity, ease of implementation, and cost-effectiveness.…”

Section: Traditional Maximum Power Point Tracking Algorithmmentioning

confidence: 99%

Novel Control Technology for Reducing Output Power Harmonics of Standalone Solar Power Generation Systems

Liu,

Lin,

Lin

et al. 2023

Processes

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This study presents a standalone solar power system that incorporates a photovoltaic (PV) module, a boost converter, an H-bridge inverter, a low-pass filter (LPF), and a microcontroller unit (MCU). A novel cake sweetness maximum power point tracking (CS MPPT) algorithm and adjustable frequency and duty cycle (AFDC) control strategy has been proposed and efficiently applied to the solar power system for optimizing the system efficiency and output power quality. The experimental results show that the proposed CS MPPT algorithm achieves an efficiency of 99% under both the uniform irradiance conditions (UIC) and partial shading conditions (PSC). Subsequently, the AFDC control strategy is applied to the H-bridge inverter which improves the output AC voltage and AC current and thereby improving the power quality. The system ensures a stable 110 Vrms/60 Hz AC output voltage with only 2% total voltage harmonic distortion of voltage (THDv), and produces a high-quality output voltage with reduced LPF volume and better economic benefits. The comparative analysis demonstrates that the characteristics and the performances of the CS MPPT algorithm in combination with the AFDC control strategy is better than the existing several maximum power point tracking (MPPT) techniques and inverter control strategies. The research output affirms the potential of the proposed solar power system to fulfill the actual daily needs of electricity by harnessing the maximum power from PV modules.

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“…The research is focussed on improving the convergence rate by developing modified evolutionary computing algorithms. Also, the hybrid algorithms are developed on improving the convergence speed such as hybrid MPPT based on WO (Premkumar and Sumithira, 2018), hybrid MPPT based on GWO (Mohanty et al , 2016), hybrid MPPT based on ANN (Huang et al , 2019), hybrid MPPT based on FLC (Bahrami et al , 2016), hybrid Jaya MPPT (Huang et al , 2017), hybrid MPPT based on modified P&O (Zhang et al , 2019) and hybrid MPPT based on enhanced leader particle swarm optimization (ELPSO) (Ram et al , 2020). The P&O, GWO are combined to get high efficiency during large variations of irradiations from the Sun.…”

Section: Introductionmentioning

confidence: 99%

Performance comparison of modified elephant herding optimization tuned MPPT for PV based solar energy systems

Subramanian¹,

Jayaparvathy²

2021

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Purpose The solar photovoltaic (PV) system is one of the outstanding, clean and green energy options available for electrical power generation. The varying meteorological operating conditions impose various challenges in extracting maximum available power from the solar PV system. The drawbacks of conventional and evolutionary algorithms-based maximum power point tracking (MPPT) approaches are its inability to extract maximum power during partial shading conditions and quickly changing irradiations. Hence, the purpose of this paper is to propose a modified elephant herding optimization (MEHO) based MPPT approach to track global maximum power point (GMPP) proficiently during dynamic and steady state operations within less time. Design/methodology/approach A MEHO-based MPPT approach is proposed in this paper by incorporating Gaussian mutation (GM) in the original elephant herding optimization (EHO) to enhance the optimizing capability of determining the optimal value of DC–DC converter’s duty cycle (D) to operate at GMPP. Findings The effectiveness of the proposed system is compared with EHO based MPPT, Firefly Algorithm (FA) MPPT and particle swarm optimization (PSO) MPPT during uniform irradiation condition (UIC) and partial shading situation (PSS) using simulation results. An experimental setup has been designed and implemented. Simulation results obtained are validated through experimental results which prove the viability of the proposed technique for an efficient green energy solution. Originality/value With the proposed MEHO MPPT, it has been noted that the settling period is lowered by 3.1 times in comparison of FA MPPT, 1.86 times when compared to PSO based MPPT and 1.29 times when compared to EHO based MPPT with augmented efficiency of 99.27%.

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A new hybrid method of MPPT for photovoltaic systems based on FLC and three point-weight methods

Cited by 7 publications

References 24 publications

A Review and Classification of Most Used MPPT Algorithms for Photovoltaic Systems

A Review and Classification of Most Used MPPT Algorithms for Photovoltaic Systems

Novel Control Technology for Reducing Output Power Harmonics of Standalone Solar Power Generation Systems

Performance comparison of modified elephant herding optimization tuned MPPT for PV based solar energy systems

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