Optimal controller tuning for P&amp;O maximum power point tracking of PV systems using genetic and cuckoo search algorithms

Ahmed, Nabil A.; Rahman, Salahuddin Abdul; Alajmi, Bader N.

doi:10.1002/2050-7038.12624

Cited by 17 publications

(12 citation statements)

References 44 publications

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“…17 shows the step change of insolation that changes from 250, to 1000W/m 2 in a step of 250 W/m 2 . The perturbation and observation (P&O) maximum power point tracking is used in this paper for its simple structure and ease of implementation [36]. Fig.…”

Section: Mode IVmentioning

confidence: 99%

Solar Powered Unmanned Aerial Vehicle With Active Output Filter Under Non-Linear Load Conditions

Ahmed

Alhuwaishel

2021

IEEE Access

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This paper presents a new electric powertrain for solar powered unmanned aerial vehicle (UAV). The proposed system structure is based on the development of the power supply system for both the Solong and Zyphyr aircraft models. The proposed UAV model incorporates the Zyphry UAV use of an AC line feeder instead of DC power lines to power the propellers. The proposed powertrain includes solar panels, an energy management system based on lithium sulfide battery, inverter, AC bus-line and active output filter (AOF). AOF topology is composed of a high switching frequency H-bridge inverter with a reduced size LC filter. The utilization of AOF system reduces the size and weight of the power transmission system and significantly improves its conversion efficiency by introducing an emulated series resistance with the Hbridge stage to ensure high quality pure sinusoidal waveform of the line voltage. This emulated series resistance produces an injected voltage across it to diminish unwanted harmonics created from the non-linear load. A simulation model and experimental setup are created to simulate the proposed system and the system is tested under non-linear load condition with closed-loop feed-back control strategy. The obtained simulation and experimental results demonstrate that high-quality sinusoidal line voltage waveforms can be obtained using the active resistance compensation technique with total harmonic distortion factor less than 3%. Moreover, power losses analysis and conversion efficiency calculation of the proposed system are performed and compared with that of the conventional three-phase PWM inverter, which proved that the power losses are reduced by 31%.

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Section: Mode IVmentioning

confidence: 99%

Solar Powered Unmanned Aerial Vehicle With Active Output Filter Under Non-Linear Load Conditions

Ahmed

Alhuwaishel

2021

IEEE Access

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“…Because of environmental issues, green energy resources have recently received a lot of focus. Because of the advancement of photovoltaic (PV) fabrication technologies, photovoltaics (PVs) has gained a lot of attention among renewable energy sources [2]. PV modules are made up of PV cells that are electrically linked.…”

Section: Introductionmentioning

confidence: 99%

Improving the performance of photovoltaic module during partial shading using ANN

Hashim

Kareem²,

Al‐Azzawi

et al. 2021

IJPEDS

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<span lang="EN-US">Photovoltaic (PV) panels have drawback of having their peak power reduced when clouds or shade are present. Furthermore, it is only available while the sun shine. Nearby structures, plants, bird droppings, and other obstacles shade operating photovoltaic (PV) devices, effectively reducing the incident solar radiation produced by the modules. When these PV panels are exposed to partial shading, their power efficiency is reduced. A neural network with a kind of artificial neural network is used in the suggested hybrid method (ANN). The key focus of this article is to use environmental effects dependent on partial shading to get the maximum performance from a solar system. The suggested hybrid solution is tested in the MATLAB/Simulink working platform using partial shading test cases, and the efficiency is compared to other approaches. Additionally, the best options for the suggested procedure, current, voltage, and power are examined.</span>

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“…5,6 The minimization of PV cost is most encouraging in the developing countries. 7 Commonly, the reduction of energy efficiency of photovoltaic scheme because of fluctuations in solar radiation, partial shade, orientation, dust, and bird droplets are the major problem faced by PV. 8 Therefore, it is very essential to follow techniques that can improve the energy efficiency of the PV system.…”

Section: Introductionmentioning

confidence: 99%

Hybrid TSA‐RBFNN based approach for MPPT of the solar PV panel under the effects of tilt angles variations and environmental effects

2021

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This paper proposes a hybrid approach to improve the performance of photovoltaic (PV) system and track the maximum system power. The proposed hybrid approach is the combination of Tunicate Swarm algorithm (TSA) and Radial Basis Function Neural Network (RBFNN), hence it is called TSA-RBFNN. The main contribution of this paper is to "achieve the best output from solar system by tilt angles variations and environmental effects, like dust accumulation, water drops, partial shading, and maximum power point tracking (MPPT) of the solar PV panel. Here, tilt angle and orientation angles are important factor for obtaining the maximal power of the photovoltaic system with consequently the power fed to load in the PV system. The voltage, current, and PV system power are used to analyze the effect of any particle size and any weight of coal for the performance of PV modules. TSA is used to measure the PV module voltage, current, and power, then it generates a possible dataset in the offline way. The dataset has electrical parameters that are used to create a model by using RBFNN in the online way. In addition, the determination of cleaning frequency is also developed for dirty PV modules depending upon the dust deposition velocity, then the correlation among deposited dust density including power performance of photovoltaic module. The proposed method is activated in MATLAB/Simulink site under four different test cases and the efficiency is compared with other existing methods. Furthermore, optimum solutions for proposed technique, the current, voltage, power are also analyzed. In 100 iterations, the first order statistic evaluation for all the cases is obtained using proposed and existing techniques such as ANN, GBDT, SSA, and SSA-GBDT technique. In addition, the dependability, sensitivity, and accuracy of the proposed technique are also obtained. Computation time using various number of trails of proposed and existing techniques is analyzed for 100, 150, 200, 250, and 500 trails. The proposed technique achieves the trail number of 100, 150, 200, 250, and 500 trails is 48.1740 seconds, 51.2133 seconds, 71.0483 seconds, 60.00126 seconds, and 57.80132 seconds.

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Optimal controller tuning for P&O maximum power point tracking of PV systems using genetic and cuckoo search algorithms

Cited by 17 publications

References 44 publications

Solar Powered Unmanned Aerial Vehicle With Active Output Filter Under Non-Linear Load Conditions

Solar Powered Unmanned Aerial Vehicle With Active Output Filter Under Non-Linear Load Conditions

Improving the performance of photovoltaic module during partial shading using ANN

Hybrid TSA‐RBFNN based approach for MPPT of the solar PV panel under the effects of tilt angles variations and environmental effects

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