Total Harmonics Distortion Prediction at the Point of Common Coupling of industrial load with the grid using Artificial Neural Network

Ugwuagbo, Emenike; Balogun, Adeola; Ray, Biplob; Anwar, Adnan; Ugwuishiwu, Chikodili

doi:10.1016/j.egyai.2023.100281

Cited by 7 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model was trained utilizing input parameters collected from power quality meters at both 33 kV and 132 kV voltage levels, drawing data from five distinct steel manufacturing plants. The findings revealed that the model incorporating two hidden layers, with four major power parameters (current, apparent power, reactive power, and active power) as inputs during the training phase, exhibited the highest performance, achieving an impressive 95.5% coefficient of correlation between the measured THDi and the predicted THDi [56]. Table 2 presents some articles in the scientific literature that approach the use of the prospected technology.…”

Section: Resultsmentioning

confidence: 99%

From Patents to Progress: Genetic Algorithms in Harmonic Distortion Monitoring Technology

da Cruz Filho,

Nunes,

Malta Santos

et al. 2023

Energies

View full text Add to dashboard Cite

Sustainable energy sources, such as wind energy, are pivotal in driving our energy landscape towards a more environmentally conscious and responsible future. Wind power, as an exemplar of clean and renewable energy solutions, adeptly harnesses the kinetic energy of the wind to generate electricity. While wind energy significantly contributes to our sustainability objectives, the quality of the energy it produces is equally essential. A critical challenge in this context is harmonic distortion, which manifests as unwanted fluctuations in the frequency and amplitude of electrical waveforms. Effectively mitigating these distortions within wind energy systems is vital to maintaining the stability and reliability of power grids, guaranteeing that the electricity supplied adheres to high-quality standards. The objective of this study was to conduct a technological prospection focused on the contemporary scenario of genetic algorithm applications in addressing harmonic variations. This investigation unearthed a total of 634 relevant documents. The findings suggest that the utilization of genetic algorithms for enhancing energy quality is a relatively recent but promising field. The State Grid Corp of China emerged as the principal contributor, with ten noteworthy inventors identified. Remarkably, both China and the United States lead in patent filings. The insights gleaned from these documents underscore the potential for further exploration and the synergistic application of these techniques. These collaborative efforts have the potential to yield processes and devices that offer significant economic and environmental advantages for the energy industry, solidifying our commitment to a cleaner and more sustainable energy future.

show abstract

Section: Resultsmentioning

confidence: 99%

From Patents to Progress: Genetic Algorithms in Harmonic Distortion Monitoring Technology

da Cruz Filho,

Nunes,

Malta Santos

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…In [16], a single-phase seven-level transformer-less inverter was discussed; it seems a greater number of power electronic devices were utilized for each voltage response, leading to high power loss. An MLI technique was suggested in [17,18], which considered a single power switch and diode coupled with a traditional H-bridge in order to control each additional source of dc inputs. As a result, the component count increased and power-sharing between sources was unequal.…”

Section: Introductionmentioning

confidence: 99%

Total Harmonic Distortion Analysis of a Seven-Level Inverter for Fuel Cell Applications

Veerendra,

Chavali,

Shivarudraswamy

et al. 2023

RAiSE-2023

View full text Add to dashboard Cite

show abstract

Microstructure, mechanical properties, and adhesion behavior of DLC/W coating on Al-Mg loudspeaker diaphragm for enhancing its acoustic performance

Sun,

Cui,

et al. 2024

Colloid and Interface Science Communications

View full text Add to dashboard Cite

Total Harmonics Distortion Prediction at the Point of Common Coupling of industrial load with the grid using Artificial Neural Network

Cited by 7 publications

References 16 publications

From Patents to Progress: Genetic Algorithms in Harmonic Distortion Monitoring Technology

From Patents to Progress: Genetic Algorithms in Harmonic Distortion Monitoring Technology

Total Harmonic Distortion Analysis of a Seven-Level Inverter for Fuel Cell Applications

Microstructure, mechanical properties, and adhesion behavior of DLC/W coating on Al-Mg loudspeaker diaphragm for enhancing its acoustic performance

Contact Info

Product

Resources

About