Design and development of symmetrical super‐lift DC–AC converter using firefly algorithm for solar‐photovoltaic applications

Albert, Johny Renoald; Stonier, Albert Alexander

doi:10.1049/iet-cds.2018.5292

Cited by 92 publications

(12 citation statements)

References 23 publications

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“…The dielectric performance of the NE against the MO and silicone-based insulating fluids reported by researchers specify several possibilities to investigate edible and non-edible NE available in the market [14,15]. The dielectric condition of the liquid insulation is assessed by measuring the breakdown voltage.…”

Section: Introductionmentioning

confidence: 99%

Breakdown Voltage Prediction by Utilizing the Behavior of Natural Ester for Transformer Applications

Pakianathan¹,

Maheswari²

2023

Intelligent Automation &Amp; Soft Computing

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This research investigates the dielectric performance of Natural Ester (NE) using the Partial Differential Equation (PDE) tool and analyzes dielectric performance using fuzzy logic. NE nowadays is found to replace Mineral Oil (MO) due to its extensive dielectric properties. Here, the heat-tolerant Natural Esters Olive oil (NE1), Sunflower oil (NE2), and Ricebran oil (NE3) are subjected to High Voltage AC (HVAC) under different electrodes configurations. The breakdown voltage and leakage current of NE1, NE2, and NE3 under Point-Point (P-P), Sphere-Sphere (S-S), Plane-Plane (PL-PL), and Rod-Rod (R-R) are measured, and survival probability is presented. The electric field distribution is analyzed using the Partial Differential Equation (PDE) tool. NE shows better HVAC with stand capacity under all the electrodes configuration, especially in the S-S shape geometry. The exponential function is developed for the oils under different electrode geometry; NE shows a higher survival probability. Likewise, the most influential dielectric properties such as breakdown voltage, kinematic viscosity, and water content are used to develop a Mamdani-based control system model that combines two variables to produce the surface model. The surface model indicates that the NE subjected for investigation is less susceptible to moisture effect and higher kinematic viscosity. Based on the surface models of PDE and fuzzy, it is concluded that NE possesses a high survival rate since its breakdown voltage does not react to changes in water content. Hence the application of NE in the transformer application is highly safe and possesses extended life.

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Section: Introductionmentioning

confidence: 99%

Breakdown Voltage Prediction by Utilizing the Behavior of Natural Ester for Transformer Applications

Pakianathan¹,

Maheswari²

2023

Intelligent Automation &Amp; Soft Computing

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“…In flying capacitor configuration, diverse stages are created in the output voltage by addition or subtraction of the capacitor voltages. Numerous methodologies have been made to defeat these detriments, among that lessening in the number of switches in MLI results in the minimum number of devices and simple switching [21][22][23]. In this article, reduced switch multilevel inverter-based UPQC with ANN control technique is proposed for analysis.…”

Section: Introductionmentioning

confidence: 99%

ANN Based Reduced Switch Multilevel Inverter in UPQC for Power Quality Improvement

Jeevanantham¹,

Srinath²

2022

Intelligent Automation &Amp; Soft Computing

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A unified power quality conditioner (UPQC) plays a crucial role in the Power quality improvement of a power system. In this paper, a reduced switch multilevel inverter is with artificial neural network, soft computing technique control is proposed for UPQC. This proposed topology is employed for the mitigation of various power quality issues such as voltage sag, voltage swell, power factor, harmonics, and restoration time of voltage compensation. To show the enriched performance of the proposed topology comparative analysis is made with other two topologies of UPQC such as Conventional UPQC and UPQC using cascaded H bridge (CHB) five-level Inverter. All configurations are analysed using Matlab with variable nonlinear loads to analyse the performance during the conditions mentioned above.

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“…Researchers have explored their best solutions such as maximum power point tracking (MPPT) designs to extract the best global power maxima for load applications 2–4 . PV power plant performance, on the other hand, has the potential to improve.…”

Section: Introductionmentioning

confidence: 99%

“…Researchers have explored their best solutions such as maximum power point tracking (MPPT) designs to extract the best global power maxima for load applications. [2][3][4] PV power plant performance, on the other hand, has the potential to improve. Moreover, PV system performance is affected due to obscured sun irradiation levels called partial shading conditions (PSCs).…”

mentioning

confidence: 99%

Imperative role of optimization techniques to reconfigure solar photovoltaic array systems to diminish shading effects

Pachauri

2021

Circuit Theory & Apps

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Solar photovoltaic (PV) efficiency improvement is critical to the use of largescale power generation. The effects of partial shading are a major source of concern for reduced power generation and increased power loss (PL).Researchers explored an extensive way to resolve the shading issue using the metaheuristic approach for the reconfiguration of PV arrays. In this perspective, a detailed review of metaheuristic approaches involved in PV array reconfiguration solutions to provide improved performance. Furthermore, all metaheuristic approaches are classified as (i) evolutionary, (ii) trajectory, (iii) art inspired, (iv) ancient inspired, and (v) nature inspired. The evolutionary and nature-inspired metaheuristic approaches are used in the application of PV array reconfiguration and are critically studied in terms of ease of implementation of global power maxima under partial shading conditions (PSCs). In this present paper, an experimental study validates the MATLAB/Simulink results investigated under shading scenario for conventional total-cross-tied (TCT) and maximum-minimum tier equalization swapping (MMTES) metaheuristic technique-based PV array configurations. The obtained results in terms of percentage of power gain are 11.88% and 11.52% with respect to TCT in MATLAB/Simulink and experimental studies. Further, this study assesses the potential of each algorithm by comparing it with well-established procedures involved in PV array reconfiguration. This paper examines an important review on the types and nature of objective functions, figure of merits, pros and cons, challenges, and future research opportunities.

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Design and development of symmetrical super‐lift DC–AC converter using firefly algorithm for solar‐photovoltaic applications

Cited by 92 publications

References 23 publications

Breakdown Voltage Prediction by Utilizing the Behavior of Natural Ester for Transformer Applications

Breakdown Voltage Prediction by Utilizing the Behavior of Natural Ester for Transformer Applications

ANN Based Reduced Switch Multilevel Inverter in UPQC for Power Quality Improvement

Imperative role of optimization techniques to reconfigure solar photovoltaic array systems to diminish shading effects

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