Improvement of power quality in grid-connected hybrid system with power monitoring and control based on internet of things approach

Balakishan, P.; Chidambaram, I. A.; Manikandan, M.

doi:10.20998/2074-272x.2022.4.06

Cited by 8 publications

(9 citation statements)

References 26 publications

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“…The switch (SW) is closed in mode 1 at time, t ¼ 0 whereas the switch (SW) is opened in mode 2 at time t ¼ kT. This operations modes are thoroughly explained in [26]. By utilizing the boost converter, the energy attained from the PV is improved, which is then fed to the grid through inverter.…”

Section: Boost Convertermentioning

confidence: 99%

“…As the outcome of the Photovoltaic (PV) module is insufficient, a suitable converter is mandatory for maximizing the PV voltage and so a boost converter is employed for this purpose. The intermittent atmospheric conditions generally affect the PV output and so it is crucial to trace the maximum power from the PV module [22][23][24][25][26]. Wind energy is another RES, which is integrated with PV systems to deliver a continuous power output.…”

Section: Introductionmentioning

confidence: 99%

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Power Quality Improvement Using ANN Controller For Hybrid Power Distribution Systems

Quawi¹,

Shuaib²,

Manikandan³

2023

Intelligent Automation &Amp; Soft Computing

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In this work, an Artificial Neural Network (ANN) based technique is suggested for classifying the faults which occur in hybrid power distribution systems. Power, which is generated by the solar and wind energy-based hybrid system, is given to the grid at the Point of Common Coupling (PCC). A boost converter along with perturb and observe (P&O) algorithm is utilized in this system to obtain a constant link voltage. In contrast, the link voltage of the wind energy conversion system (WECS) is retained with the assistance of a Proportional Integral (PI) controller. The grid synchronization is tainted with the assistance of the d-q theory. For the analysis of faults like islanding, line-ground, and line-line fault, the ANN is utilized. The voltage signal is observed at the PCC, and the Discrete Wavelet Transform (DWT) is employed to obtain different features. Based on the collected features, the ANN classifies the faults in an efficient manner. The simulation is done in MATLAB and the results are also validated through the hardware implementation. Detailed fault analysis is carried out and the results are compared with the existing techniques. Finally, the Total harmonic distortion (THD) is lessened by 4.3% by using the proposed methodology.

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Section: Boost Convertermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power Quality Improvement Using ANN Controller For Hybrid Power Distribution Systems

Quawi¹,

Shuaib²,

Manikandan³

2023

Intelligent Automation &Amp; Soft Computing

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“…The predominant research emphasis has been on mitigating harmonics within the traction system, with many scholars opting for the use of passive filters to alter the impedance of harmonics in this system [5]. In order to improve power quality, a grid-connected voltage source converter has incorporated an LCL-type filter, renowned for its superior high-frequency harmonic attenuation in comparison to conventional L-type filters.…”

mentioning

confidence: 99%

Harmonics suppression in high-speed railway via single-phase traction converter with an LCL filter using fuzzy logic control strategy

Aissaoui,

Bouzeria,

Benidir

et al. 2024

Electrical Engineering & Electromechanics

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Introduction. The railway Traction Power Supply System (TPSS) encounters a common challenge related to high-frequency harmonic resonance, especially when employing AC-DC-AC traction drive systems in high-speed trains. This resonance issue arises when the harmonic elements introduced by the traction AC-DC converter on the grid side of trains align with the innate resonance frequency of the TPSS. The novelty the proposed work focuses on the challenges associated with resonance elevation and high-frequency harmonics in high-speed trains, while simultaneously enhancing energy quality. This is achieved by integrating a pulse-width-modulated converter on the grid side with a single-phase configuration and incorporating an LCL filter. Methodology. In order to optimize the system’s efficiency, a robust control system is employed, taking advantage of the capabilities of a fuzzy logic controller (FLC). The choice of the FLC is justified by its straightforward design and reliability, emphasizing the dedication to precise control, as fuzzy logic excels in handling complex, nonlinear systems. Through the use of linguistic variables and heuristic reasoning, the FLC adjusts to dynamic changes in the system, demonstrating its efficacy in enhancing both transient and steady-state responses. Practical value. A grid-side LCL filter-based converter was meticulously designed and rigorously simulated using the MATLAB/Simulink platform. The inclusion of an advanced FLC in the system introduced a novel approach to control strategies, surpassing the traditional PI controller. Through a comprehensive comparative analysis, the simulation results showcased the remarkable efficacy of the proposed solution in an effectively mitigating high-frequency resonance within the TPSS. This outcome underscores the potential of FLC as a sophisticated control mechanism for enhancing the performance systems in railway applications, showcasing its superiority over conventional control methods. The study contributes in shedding light on innovative approaches for optimizing the control and efficiency of grid-side LCL filter-based converters in high-speed train systems.

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“…Photovoltaic (PV) systems are one of the most promising renewable sources since they exhibit many merits such as availability, cleanness, little maintenance and no noise pollution. Thus, the power generation from PV systems will keep increasing in the future electrical power grid and microgrid systems as well [1][2][3][4][5]. However, PV systems present notable disadvantages, such as a very low electricpower generation efficiency, especially under lowirradiation states; an interdependence of the amount of the electric power generated by solar arrays and changing weather conditions [2][3][4][5][6][7].…”

mentioning

confidence: 99%

“…This work is based on the choice of a sliding surface S given in (5), which makes it possible to explore the stability of the PV voltage in presence of climatic changes. The dynamic behavior of the DC-DC converter is modeled by ( 6), (7):…”

mentioning

confidence: 99%

Cascade sliding mode maximum power point tracking controller for photovoltaic systems

Hessad

Bouchama

Benaggoune

et al. 2023

Electrical Engineering & Electromechanics

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Introduction. Constant increases in power consumption by both industrial and individual users may cause depletion of fossil fuels and environmental pollution, and hence there is a growing interest in clean and renewable energy resources. Photovoltaic power generation systems are playing an important role as a clean power electricity source in meeting future electricity demands. Problem. All photovoltaic systems have two problems; the first one being the very low electric-power generation efficiency, especially under low-irradiation states; the second resides in the interdependence of the amount of the electric power generated by solar arrays and the ever changing weather conditions. Load mismatch can occur under these weather varying conditions such that maximum power is not extracted and delivered to the load. This issue constitutes the so-called maximum power point tracking problem. Aim. Many methods have been developed to determine the maximum power point under all conditions. There are various methods, in most of them based on the well-known principle of perturb and observe. In this method, the operating point oscillates at a certain amplitude, no matter whether the maximum power point is reached or not. That is, this oscillation remains even in the steady state after reaching the maximum power point, which leads to power loss. This is an essential drawback of the previous method. In this paper, a cascade sliding mode maximum power point tracking control for a photovoltaic system is proposed to overcome above mentioned problems. Methodology. The photovoltaic system is mainly composed of a solar array, DC/DC boost converter, cascade sliding mode controller, and an output load. Two sliding mode control design strategies are joined to construct the proposed controller. The primary sliding mode algorithm is designed for maximum power point searching, i.e., to track the output reference voltage of the solar array. This voltage is used to manipulate the setpoint of the secondary sliding mode controller, which is used via the DC-DC boost converter to achieve maximum power output. Results. This novel approach provides a good transient response, a low tracking error and a very fast reaction against the solar radiation and photovoltaic cell temperature variations. The simulation results demonstrate the effectiveness of the proposed approach in the presence of environmental disturbances.

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Improvement of power quality in grid-connected hybrid system with power monitoring and control based on internet of things approach

Cited by 8 publications

References 26 publications

Power Quality Improvement Using ANN Controller For Hybrid Power Distribution Systems

Power Quality Improvement Using ANN Controller For Hybrid Power Distribution Systems

Harmonics suppression in high-speed railway via single-phase traction converter with an LCL filter using fuzzy logic control strategy

Cascade sliding mode maximum power point tracking controller for photovoltaic systems

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