IoT embedded cloud-based intelligent power quality monitoring system for industrial drive application

Singh, Rahul Kumar; Yash, Sharma; Shubham, S C; Indragandhi, V.; Vijayakumar, V.; Saravanan, P.; Subramaniyaswamy, V.

doi:10.1016/j.future.2020.06.032

Cited by 49 publications

(14 citation statements)

References 19 publications

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“…This study shows that the complexity and variety of sources affect power quality. Power quality requires a lot of related knowledge such as engineering, management knowledge, and even related knowledge to ensure information security for the power system [58]. Looking at the economy with the explosion of smart electronic components and with the development of smart systems such as smart homes, and smart factories, along with industry 4.0 and the need to use a lot of control switches control and this is the main source of harmonic generation in the power supply [59].…”

Section: A Sources and Measuresmentioning

confidence: 99%

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

2023

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The world today is increasingly dependent directly or indirectly on the power system. Ensuring the quality of power supplied to electrical equipment is essential. The national regulatory framework is for harmonic mitigation in the global power system. This paper discusses the relationship between Efficiency (E), Security (S), and Reliability (R) for Electric Power Quality (EPQ). We measure the harmonic mitigation regulations listed in the IEEE 519 standard. To evaluate the proposed E, S, and R constructs and their relationship to EPQ, a multi-planning approach the method of Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Deep Learning Artificial Neural Network (ANN) analysis were performed. In it, deep Learning Artificial Neural Network (ANN) was performed to complement the PLS-SEM findings and higher prediction accuracy. The study shows that the aspects of efficiency (E), security (S), and reliability (R) have a significant relationship with Electric Power Quality (EPQ). Another result of the study indicates that science, technology, engineering and math (STEM) resource conditions have a significant and positive impact on EPQ.

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Section: A Sources and Measuresmentioning

confidence: 99%

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

2023

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“…The techniques employed in photovoltaic systems are well-suited for activities requiring minimal power input. However, they prove inadequate for larger power-consuming areas, such as rice mills and high-powered agricultural processing [11]. In the present scenario, farmers face challenges in irrigating their plants to keep their crops healthy under the scorching sun.…”

Section: Solar Pumping Water Systemmentioning

confidence: 99%

Utilization of Solar Energy in Irrigation Systems in Bangladesh

Salehin,

Joy,

Hasan

et al. 2023

EPE

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The demand for water pumping in urban water supply and irrigation in Bangladesh is significantly influenced by electricity deficits and high diesel costs. To address these challenges, the adoption of solar power for water pumping emerges as a viable alternative to traditional systems reliant on grid power and diesel. In recent years, there has been a growing emphasis on clean and renewable energies, aligning with the environmental and economic priorities of Bangladesh. The agricultural sector, serving as the backbone of the country's economy, witnesses an escalating demand for water as the population increases. The extraction and transfer of water for agricultural and drinking purposes translate to high-energy consumption. Leveraging the abundant and essentially free solar energy, particularly during the crop growth periods when irrigation is crucial, presents an optimal solution. This study underscores the underutilization of this vital resource in Bangladesh and advocates for the widespread implementation of solar energy conversion programs, specifically in photovoltaic pumping systems. By comparing these systems with conventional diesel pumps, this paper aims to inspire policymakers, statesmen, and industry professionals to integrate green energy into the water sector. The envisioned outcome is a strategic shift towards sustainable development, with a focus on harnessing solar power to pump water for villages and agriculture, thus contributing to economic and environmental sustainability.

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“…Fast Fourier transform, wavelet transform and quadratic transform methods are available. Comparing voltage measurements between precise parallel models can effectively register the same voltage level is a straightforward approach for a professional to evaluate their system energy efficiency without needing complicated equipment (Singh et al,2020). The power quality report displays the quantity and intensity of voltage sags, swells, and transients over time.…”

Section: Introductionmentioning

confidence: 99%

Secure Transmission Method of Power Quality Data in Power Internet of Things Based on the Encryption Algorithm

Liu,

Chang,

Yao

et al. 2023

International Journal of Data Warehousing and Mining

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As a new mobile communication technology in the era of the internet of things, 5G is characterized by high speed, low delay, and large connection. It is a network infrastructure to realize human-computer and internet of things in the era of the internet of things. Power quality data is the efficiency with which a power grid delivers electricity to users and expresses how well a piece of machinery uses the electricity it receives. The waveform at the nominal voltage and frequency is the goal of power quality research and improvement. The power internet of things (IoT) is an intelligent service platform that fully uses cutting-edge tech to enable user-machine interaction, data-driven decision-making, real-time analytics, and adaptive software design. The process by which plaintext is converted into cipher text is called an encryption algorithm. The cipher text may seem completely random, but it can be decrypted using the exact mechanism that created the encryption key.

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IoT embedded cloud-based intelligent power quality monitoring system for industrial drive application

Cited by 49 publications

References 19 publications

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

Utilization of Solar Energy in Irrigation Systems in Bangladesh

Secure Transmission Method of Power Quality Data in Power Internet of Things Based on the Encryption Algorithm

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