On the Use of Common Information Model for Smart Grid Applications — A Conceptual Approach

Kamal, Shahid; Karthikeyan, N.; Olsen, Rasmus Løvenstein; Iov, Florin; Lyhne, Michael; Morgante, Gabriele

doi:10.1109/tsg.2021.3095896

Cited by 16 publications

(8 citation statements)

References 36 publications

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“…Por lo tanto, las REI son aquellas que incluyen monitoreo de la red en tiempo real, respuesta a la demanda, mejora de la eficiencia energética, mayor capacidad de alojamiento, aplazamiento de las actualizaciones de la red y algoritmos de auto reparación, etc. [6]. Las REI, forman parte de un proyecto que busca desarrollar una red eléctrica que pueda integrar de manera inteligente las acciones de todos los usuarios conectados a ella, incluidos los generadores, los consumidores y aquellos que realizan ambas acciones para entregar de manera eficiente el suministro de electricidad sostenible, económico y seguro, que por ende mejorará la calidad de servicio del suministro, de acuerdo con los avances de la era digital [7].…”

Section: Redes Eléctricas Inteligentesunclassified

Redes Eléctricas Inteligentes en México

Olivarría González,

Gutiérrez Rochin,

Llamas Domínguez

et al. 2023

ReDTIS

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Una red eléctrica avanzada es una infraestructura moderna respaldada por sistemas de comunicación bidireccional, que permiten a proveedores y consumidores acceder a datos en tiempo real sobre el suministro, la demanda y los precios de la energía. Además, integra fuentes de energía distribuidas, como la solar, la eólica y la térmica, a través de microrredes. Estas redes inteligentes constan de componentes clave: microrredes, contadores inteligentes, energía renovable y vehículos eléctricos enchufables. La creciente demanda de electricidad ha expuesto las limitaciones de las redes convencionales, incluidas las pérdidas de energía y la falta de integración de fuentes renovables, para enfrentar estos desafíos, México está implementando Redes Eléctricas Inteligentes (REI) que mejoran la eficiencia y la resiliencia energética, y reducen las emisiones. Las REI se basan en cuatro pilares: comunicación avanzada, automatización, integración de energías renovables y gestión de la demanda, que ofrecen beneficios como eficiencia energética, confiabilidad y empoderamiento del consumidor. La implementación de REI en México busca mejorar la calidad y confiabilidad del suministro eléctrico, integrar energías renovables y reducir emisiones, marcando avances en la modernización del sistema eléctrico del país. La investigación en este campo es esencial para conocer los desafíos energéticos modernos y avanzar hacia una red eléctrica más eficiente y sostenible, que reduzca la huella de carbono. Las REI son fundamentales en esta transición, ya que permiten la recopilación y el uso de datos en tiempo real, la integración de fuentes de energía renovables descentralizadas y la gestión de microrredes, promoviendo la sostenibilidad y la eficiencia.

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Section: Redes Eléctricas Inteligentesunclassified

Redes Eléctricas Inteligentes en México

Olivarría González,

Gutiérrez Rochin,

Llamas Domínguez

et al. 2023

ReDTIS

View full text Add to dashboard Cite

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“…It promotes clean energy with the grid along with promoting the efficiency of conventional fossil fuels 33) . The main challenge of the smart power grid system is the initial cost of integrating it with the conventional power grid system 47) . Demand-side management using an SG requires smart meters along with a LAN connection among them 48) though the SG meters are going to be part of IoT because of the wide availability and cheap cost of LAN connection.…”

Section: Overview Of Sg Using Cvrmentioning

confidence: 99%

Energy Conservation of Smart Grid System Using Voltage Reduction Technique and Its Challenges

Rahman¹,

Saha²,

Majumder³

et al. 2022

Evergreen

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Energy conservation has become crucial due to the present energy crisis in the world. To resolve such crises and reduce peak hours' electricity demand, the conservation voltage reduction (CVR) technique is frequently implemented in the power grid system. In this paper, experimental work along with simulation has been done to conserve energy by employing the CVR technique in a smart grid (SG). To verify the simulation result, an Arduino-based SG has been designed with a realtime clock (RTC) and Wi-Fi module esp8266. A program has been developed and burnt into a microcontroller integrated circuit (IC) of an Arduino board that senses day-to-day peak and/or offpeak hours of electricity consumption. The intelligent program that has been put in the system to control the switching of triode for AC (i.e., TRIAC) with an optocoupler to vary the firing angle α (0-π). At peak hours the developed system optimizes the output supplied voltage to load and it results in lesser supplied power at load. The energy consumption data is then sent to the ThingSpeak cloud for remote monitoring. Data aggregation and analytics can be done on ThingSpeak to estimate the energy consumption trend and according to the trend distribution management can notify the generation section for demand management. It has been found that the CVR technique is feasible in RTC-based SG systems which conserves 8.33 % energy by considering 2 ms as an optimized firing delay while the CVR factor = 1. The developed RTC-based SG could be useful in mitigating the present energy crisis in developing countries.

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“…When the compressed data is received at the receiving end, the compressed data can be reconstructed for analysis. This technique can effectively reduce the amount of data transmitted in SG, resulting in cost savings in data storage, while also meeting the transmission capacity limitations of the communication network [3][4].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic and Parallel Two-Stage Lossless Data Compression Method for Smart Grid

Wu,

Xu,

et al. 2023

IEEE Access

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With the rapid development of smart grid (SG) technologies, massive system data has been generated for SG for grid operation status monitoring and fault warning, this massive integrated data has brought great challenges for data transmission and storage. Thus, the breakthrough of data compression technology has become more and more important for data processing, this proposal, a lossless data compression method is proposed. The proposed method improves the Lempel-Ziv-Welch (LZW) algorithm. Specifically, the proposed method employs a parallel search approach to search the index of the dictionary globally by dividing the dictionary into several small dictionaries of different sizes and bit widths. In addition, the dynamic variable-length coding method is used as the output code which can offer flexible bit widths instead of fixed values, and the optimal dictionary partition combination and size parameters are selected to construct dictionaries. At last, the improved algorithm is cascaded with Huffman algorithm to form the proposed data compression algorithm. The data compression efficiency has been successfully verified by comparing with conventional Huffman and LZW data compression algorithms through data simulation, and it is observed to offer a better compression ratio than those methods with only LZW algorithm or Huffman algorithm, and save storage space effectively. More than this, the proposed method has realized lossless compression for power system data and guaranteed the integrity of the data, which will have better applicability for dealing with any similar information data.INDEX TERMS Lossless data compression, smart grid, Huffman algorithm, LZW algorithm.

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On the Use of Common Information Model for Smart Grid Applications — A Conceptual Approach

Cited by 16 publications

References 36 publications

Redes Eléctricas Inteligentes en México

Redes Eléctricas Inteligentes en México

Energy Conservation of Smart Grid System Using Voltage Reduction Technique and Its Challenges

A Dynamic and Parallel Two-Stage Lossless Data Compression Method for Smart Grid

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