Adapted flower pollination algorithm for a standalone solar photovoltaic system

Awan, Muhammad Mateen Afzal; Awan, Mehmoona Javed

doi:10.22581/muet1982.2204.12

Cited by 16 publications

(4 citation statements)

References 20 publications

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“…In [25], the author suggested an additional filtration and distribution procedure called Random walk in addition to the ordering of solutions to develop a new algorithm called Ordered Flower Pollination Algorithm. The proposed algorithm (Ordered FPA) has outperformed the well-known FPA algorithm [26] under different weather circumstances. Ref.…”

Section: Introductionmentioning

confidence: 96%

A Novel MPPT Based Reptile Search Algorithm for Photovoltaic System under Various Conditions

et al. 2023

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Solar systems connected to the grid are crucial in addressing the global energy crisis and meeting rising energy demand. The efficiency of these systems is totally impacted by varying weather conditions such as changes in irradiance and temperature throughout the day. Additionally, partial shading (PS) adds to the complexity of the nonlinear characteristics of photovoltaic (PV) systems, leading to significant power loss. To address this issue, maximum power point tracking (MPPT) algorithms have become an essential component in PV systems to ensure optimal power extraction. This paper introduces a new MPPT control technique based on a novel reptile search optimization algorithm (RSA). The effectiveness of the proposed RSA method is evaluated under different weather conditions with varying irradiance and partial shading. The results of the RSA algorithm are compared to other existing bio-inspired algorithms and show superior performance with an average efficiency of 99.91%, faster dynamic response of 50 ms, and less than 20 watts of oscillation. The RSA-MPPT based technique provides higher efficiency, faster settling time, and minimal oscillation around the maximum power point (MPP), making it a reliable solution for effective solar power harvesting.

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Section: Introductionmentioning

confidence: 96%

A Novel MPPT Based Reptile Search Algorithm for Photovoltaic System under Various Conditions

et al. 2023

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“…It supplies electricity to consumers throughout the day and uses a grid-tie mechanism to export excess energy to the grid [9,10]. Solar cell power generation is direct dependent on the sun irradiance on collector plane and inverse in relation with the temperature, high temperature decreases the efficiency of solar cell [11,12]. As a result, distributed power generation through solar or wind reduces line losses and the energy issue in remote parts of SAARC countries [13,14].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of PVSyst based grid connected photovoltaic systems in Pakistan compared to SAARC countries

Khan,

Ahmad,

Raza

et al. 2024

Mehran Univ. res. j. eng. technol.

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Electricity demand increasing day by day with the passage of time, fossil fuels and traditional electricity sources are becoming obsolete. The possibility of dealing with a power deficit and importing oil and gas for electricity generation exists for developing nations like Pakistan. One of the most accessible and affordable sources of renewable energy in the world is solar power generating. Photovoltaic (PV) cell performance is influenced by the environment and the technology used to capture the available energy. The Islamabad region of Pakistan is blessed with an average of 300 days of sunshine a year due to its location in the solar band at 33.7215°N latitude and 73.0433°E longitude. The current study compares and contrasts how Pakistan and South Asian Association for Regional Cooperation (SAARC) countries generate electricity using solar systems. Choosing one geographical place from all SAARC nations, PVSyst software is used to develop and estimate the performance study for solar model cell Panasonic 320Wp, 48V and 1.5 kW Inverter Fronius for a 9.6 kWp load. Energy supplied into the grid is studied together with various losses that occur in the system, with the choice of PV arrays and other factors remaining the same for comparison study of all SAARC countries. The approach to minimize losses through the utilization of an adjustable tilt angle has been implemented. This study will be useful in estimating and planning the solar energy output in all SAARC nations for the same photovoltaic system, and it will be simple to trade all PV system components in the region.

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“…Metaheuristic algorithms, which are inspired by nature and human intelligence, offer great advantages in dealing with problems such as nonlinear optimization problems and thus have gradually become a hot research topic for researchers. Reference 29 – 31 proposed three improved flower pollination algorithms and conducted performance tests under changing weather conditions, which showed that the improved algorithms substantially improved the tracking speed and tracking efficiency. Reference 32 proposed a grid-connected PV MPPT technique using an arithmetic optimization algorithm to optimize the parameters of the proportional-integral (PI) controller, but the introduction of the PI controller increased the complexity of the system.…”

Section: Introductionmentioning

confidence: 99%

A novel MPPT technology based on dung beetle optimization algorithm for PV systems under complex partial shade conditions

Mai,

Zhang,

Chao

et al. 2024

Sci Rep

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Solar power is a renewable energy source, and its efficient development and utilization are important for achieving global carbon neutrality. However, partial shading conditions cause the output of PV systems to exhibit nonlinear and multipeak characteristics, resulting in a loss of output power. In this paper, we propose a novel Maximum Power Point Tracking (MPPT) technique for PV systems based on the Dung Beetle Optimization Algorithm (DBO) to maximize the output power of PV systems under various weather conditions. We performed a performance comparison analysis of the DBO technique with existing renowned MPPT techniques such as Squirrel Search Algorithm, Cuckoo search Optimization, Horse Herd Optimization Algorithm, Particle Swarm Optimization, Adaptive Factorized Particle Swarm Algorithm and Gray Wolf Optimization Hybrid Nelder-mead. The experimental validation is carried out on the HIL + RCP physical platform, which fully demonstrates the advantages of the DBO technique in terms of tracking speed and accuracy. The results show that the proposed DBO achieves 99.99% global maximum power point (GMPP) tracking efficiency, as well as a maximum improvement of 80% in convergence rate stabilization rate, and a maximum improvement of 8% in average power. A faster, more efficient and robust GMPP tracking performance is a significant contribution of the DBO controller.

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Adapted flower pollination algorithm for a standalone solar photovoltaic system

Cited by 16 publications

References 20 publications

A Novel MPPT Based Reptile Search Algorithm for Photovoltaic System under Various Conditions

A Novel MPPT Based Reptile Search Algorithm for Photovoltaic System under Various Conditions

Performance analysis of PVSyst based grid connected photovoltaic systems in Pakistan compared to SAARC countries

A novel MPPT technology based on dung beetle optimization algorithm for PV systems under complex partial shade conditions

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