A hybrid random parameters modification to MPPT algorithm to mitigate interharmonics from single-phase grid-connected PV systems

Hussein, Ibrahem; Çelik, Özgür; Teke, Ahmet

doi:10.1016/j.egyr.2022.04.062

Cited by 10 publications

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, some methods proposed based on the soft computing paradigm to address a complex system's dynamic behavior and PV power flows. A technique based on the grey wolf algorithm, artificial intelligence, and evolutionary algorithm approach deployed was to tackle the nonlinear features of the PV system (Ahmed et al, 2019;Bouakkaz et al, 2020;Ibrahem et al, 2022;Jean de et al, 2022;Pallavi et al, 2020;Salim et al, 2019;Yang et al, 2018). Although soft computing-based techniques have a complex computational process, has better performance.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Grid-tied Solar Photovoltaic Energy Generation under Uncertain Atmospheric Conditions Using Adaptive Neuro-fuzzy Control System

Zangina,

Aliyu Suleiman,

Ahmed

2024

AAES

View full text Add to dashboard Cite

The grid-tied photovoltaic (PV) power system has remained the most practical and sustainable configuration among renewable energy generation systems. Although uncertainties persist in solar irradiance and temperature, the grid-tied system faces transient instability issues during maximum power point tracking, adversely affecting power quality and resulting in substantial costs. To overcome this issue, we proposed analyzing the grid-tied system under uncertain atmospheric conditions based on an adaptive neuro-fuzzy control system (ANCS). This control scheme incorporates a hybrid learning algorithm and undergoes evaluation across various operating conditions. The obtained results demonstrate the effectiveness of the learning algorithm in maintaining a fast convergence speed. Consequently, this capability ensures the consistent preservation of sufficient power quality in the power system without any discernible transient impact. Furthermore, the investigation reveals the significant impact of solar radiation and temperature on the performance of the solar grid-tied PV system. Specifically, temperature alone contributes to over 15% power reduction when reaching 45 °C. As the temperature decreases to 5 °C at 1000 W/m2 irradiance, the ANCS influences an increase in the system's power generation from 100.72 kW at 25 °C to 103.01 kW.

show abstract

Section: Related Workmentioning

confidence: 99%

Analysis of Grid-tied Solar Photovoltaic Energy Generation under Uncertain Atmospheric Conditions Using Adaptive Neuro-fuzzy Control System

Zangina,

Aliyu Suleiman,

Ahmed

2024

AAES

View full text Add to dashboard Cite

show abstract

“…The approach is tested in MATLAB/Simulink with different solar irradiation levels in a grid-connected PV system. Recent research 82 shows that MPPT algorithm sample rate and step size affect PV inverter inter-harmonics emissions. Faster rates and greater steps improve tracking but hurt inter-harmonics and efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC

Ravi,

Kumar,

Dhanamjayulu

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Renewable energy integration introduces grid instability due to variable and intermittent sources like solar and wind, impacting reliability. This paper provides a thorough discussion of recent advancements and emerging trends in grid-integrated wind energy systems (GIWES) and grid-integrated solar energy systems (GISES). More than 70 research articles have been rigorously assessed and listed the technological and economic challenges. The increase in installations of grid-Integrating systems gives rise to challenges like as grid strain, peak shaving impacts, unpredictability of renewable energy sources (RES), and power quality disturbances. A variety of custom power devices, such as dynamic voltage restorers (DVR), static synchronous compensators (STATCOM), active power filters (APF), and unified power quality conditioners (UPQC), have gained popularity in response to these challenges. Among the various challenges, power quality disturbances, including voltage sag, swell, current and harmonics pose significant issues. To address these disturbances this work present a novel approach utilizing fuzzy logic (FL) to develop multi-feeder interline unified power-quality conditioners (MF-IUPQCs). The MF-IUPQC has three legs and three levels, each of which has four diode-clamped inverters. Switching is carried out through the use of space vector pulse width/duration modulation (SVPWM). Total harmonic distortion (THD) induced by nonlinear loads is reduced by the FLC-based MF-IUPQC, which also improves dynamic performance and offers a smooth DC-link voltage. The proposed control mechanism is implemented using MATLAB/Simulink. The fuzzy-based controller is compared to the industry-standard proportional-integral (PI) controller to determine its efficacy. Among them, the MF-IUPQC based on FLC delivers the smoothest voltage profile and the lowest THD.

show abstract

Radial basis function network based PV and wind system using maximum power point tracking

2023

View full text Add to dashboard Cite

A hybrid random parameters modification to MPPT algorithm to mitigate interharmonics from single-phase grid-connected PV systems

Cited by 10 publications

References 36 publications

Analysis of Grid-tied Solar Photovoltaic Energy Generation under Uncertain Atmospheric Conditions Using Adaptive Neuro-fuzzy Control System

Analysis of Grid-tied Solar Photovoltaic Energy Generation under Uncertain Atmospheric Conditions Using Adaptive Neuro-fuzzy Control System

Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC

Radial basis function network based PV and wind system using maximum power point tracking

Contact Info

Product

Resources

About