Design, power quality analysis, and implementation of smart energy meter using internet of things

Kumar, L. Ashok; Indragandhi, V.; Selvamathi, R.; Vijayakumar, V.; Ravi, Logesh; Subramaniyaswamy, V.

doi:10.1016/j.compeleceng.2021.107203

Cited by 38 publications

(19 citation statements)

References 13 publications

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“…Note that 17% can find both in NANs and WSNs, respectively, pointing out a great opportunity to develop smart grids with softwaredefined topologies. Internet of Things [19,23,24,27,28,30,31,36,37,58,64,66,73,74,79,105,107] Machine learning [20,29,32,51,55,56,60,62,69,78,80,81,85,98,102,106] Data mining [47,107] Machine learning and neural training [21,54,69,81,96] Short term memory network [41,61] Power Line Communication Technology [53,63,90] Power electronics [35,50,99,101,<...>…”

Section: Discussionmentioning

confidence: 99%

“…Based on the loT and using the Fast Fourier Transform, Kumar et al [74] developed a smart energy meter to monitor and control the effective energy consumption along of a SG to avoid distortion of current and voltage waveforms that are generated from the ATMega328-P microcontroller. In different nonlinear load conditions, this power quality meter allows to reduce deviation of the smart energy meter when the injected harmonics increased because of the ESP8266 module is used for monitoring by connecting the IoT server with the harmonics analyzer system.…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Review on Smart Grids: Challenges and Opportunities

Escobar

Matamoros

Tejeida-Padilla

et al. 2021

Sensors

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Recently, the operation of distribution systems does not depend on the state or utility based on centralized procedures, but rather the decentralization of the decisions of the distribution companies whose objectives are the efficiency of interconnectivity. Therefore, distribution companies are exposed to greater risks, and due to this, the need to make decisions based on increasingly reliable models has grown up considerably. Therefore, we present a survey of key aspects, technologies, protocols, and case studies of the current and future trend of Smart Grids. This work proposes a taxonomy of a large number of technologies in Smart Grids and their applications in scenarios of Smart Networks, Neural Networks, Blockchain, Industrial Internet of Things, or Software-Defined Networks. Therefore, this work summarizes the main features of 94 research articles ranging the last four years. We classify these survey, according Smart Grid Network Topologies, because it can group as the main axis the sensors applied to Smart Grids, as it shows us the interconnection forms generalization of the Smart Networks with respect to the sensors found in a home or industry.

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Section: Discussionmentioning

confidence: 99%

Section: Wireless Sensor Networkmentioning

confidence: 99%

A Comprehensive Review on Smart Grids: Challenges and Opportunities

Escobar

Matamoros

Tejeida-Padilla

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Despite their small size (48 × 25.4 mm), the ESP8266 devices find a wide range of implementations in the field of the Internet of Things. Some examples range from small projects for smart irrigation systems [24], measuring energy consumption [25], or fire-detection alarms [26] to more robust solutions such as synchronizing information on the availability of charging stations for electric vehicles (facilitating their scheduling during trips) [27], the control of meteorological data in photovoltaic stations [28], air quality control systems in metallurgical factories [29], or in scenarios of disease prevention related to COVID-19 [30].…”

Section: Testbedmentioning

confidence: 99%

Performance Assessment of ESP8266 Wireless Mesh Networks

et al. 2022

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This paper presents a wireless mesh network testbed based on ESP8266 devices using painlessMesh library. It evaluates its feasibility and potential effectiveness as a solution to monitor perishable goods, such as fresh fruit and vegetables, which are often stored and transported inside refrigerated containers. Performance testing experiments with different numbers of nodes and traffic loads and different message payload sizes are conducted under unicast transmission. The impact on network performance is evaluated in terms of delivery ratio and delivery delay, which, consequently, affect the energy consumption and, hence, network lifetime. The results of this investigation are an important contribution to help researchers to propose mechanisms, schemes, and protocols to improve performance in such challenging networks.

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“…Rodriguez-Pajaron et al [1] studied total harmonic distortion (THD) in residential distribution networks using a limited number of SMs. Ashok-Kumar et al [2] designed a SM that monitors non-linear loads. The SM controls and calculates energy consumption using the Fast Fourier Transform (FFT).…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of a Smart Energy Meter Using a LoRa Network in Real Time

2021

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Nowadays, the development, implementation and deployment of smart meters (SMs) is increasing in importance, and its expansion is exponential. The use of SMs in electrical engineering covers a multitude of applications ranging from real-time monitoring to the study of load profiles in homes. The use of wireless technologies has helped this development. Various problems arise in the implementation of SMs, such as coverage, locations without Internet access, etc. LoRa (long range) technology has great coverage and equipment with low power consumption that allows the installation of SMs in all types of locations, including those without Internet access. The objective of this research is to create an SM network under the LoRa specification that solves the problems presented by other wireless networks. For this purpose, a gateway for residential electricity metering networks using LoRa (GREMNL) and an electrical variable measuring device for households using LoRa (EVMDHL) have been created, which allow the development of SM networks with large coverage and low consumption.

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Design, power quality analysis, and implementation of smart energy meter using internet of things

Cited by 38 publications

References 13 publications

A Comprehensive Review on Smart Grids: Challenges and Opportunities

A Comprehensive Review on Smart Grids: Challenges and Opportunities

Performance Assessment of ESP8266 Wireless Mesh Networks

Design and Implementation of a Smart Energy Meter Using a LoRa Network in Real Time

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