Challenges, issues and opportunities for the development of smart grid

Salkuti, Surender Reddy

doi:10.11591/ijece.v10i2.pp1179-1186

Cited by 37 publications

(25 citation statements)

References 30 publications

(22 reference statements)

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“…The first thing that needs to be said is that the problem of power quality improvement by means of active, passive, and hybrid filters has been considered in many scientific publications. In these publications, authors have focused on the structure of hybrid filters, the control algorithm of the shunt or series active filters, and the evaluation of the efficiency of certain structures under specified conditions of the power source, network, and connected load [1]. From a theoretical point of view, such research is very useful and may be used as the basis for more significant research.…”

Section: Discussionmentioning

confidence: 99%

“…It is undeniable that ensuring power quality improvement and electromagnetic compatibility is critical in centralized power supply systems, distributed generation systems, and combined power supply systems [1][2][3][4]. The main negative influences of the poor power quality level on electrical equipment and power supply systems are well-known and have been studied in detail [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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The assesement of the shunt active filter efficiency under varied power supply source and load parameters

Sychev

Abramovich

Prokhorova

2020

IJECE

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The results of theoretical and experimental studies on the problems of effective application of shunt active filters for power quality improvement and electromagnetic compatibility ensuring were presented in this article. Based on the different theories and methods, the most effective and well-studied control algorithms of shunt active filters were determined and analyzed to ensure their effective application in distributed generation systems and combined power supply systems. Mathematical and computer simulation models of shunt active filters with different control algorithms in distributed generation systems and combined power supply systems were developed. According to the results of mathematical modeling and computer simulation, the dependences were detected, reflecting the influences of internal and external parameters on the factors, determining the efficiency of the correction of power quality indicators. The range of permissible changes in the parameters of shunt active filters by saving the required efficiency level of power quality correction was detected under varied power supply system characteristics, load parameters and also in hybrid structures. The adaptive algorithm of the shunt active filter functioning under varied application conditions for automated power quality improvement is developed on the basis

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The assesement of the shunt active filter efficiency under varied power supply source and load parameters

Sychev

Abramovich

Prokhorova

2020

IJECE

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“…The current literature presents several studies about enabling enabling internet of things (IoT) in SG, typically referred as IoT-enabled SG [ 9 , 10 ]. Several studies highlight the benefits that the IoT would bring within a smart grid; the reader may refer to the information given in [ 10 , 11 , 12 , 13 , 14 , 15 ] in order to have an overview of the advantages of introducing IoT technologies into a SG.…”

Section: Introductionmentioning

confidence: 99%

Semantic Interoperability between IEC 61850 and oneM2M for IoT-Enabled Smart Grids

Cavalieri

2021

Sensors

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In the era of Industry 4.0, pervasive adoption of communication technologies based on the Internet of Things represents a very strong requirement in several domains. In the smart grid domain, there is the need to overcome one of the main limitations of the current electric grid, allowing the use of heterogeneous devices capable of measuring, monitoring and exchanging information about grid components. For this reason, current literature often presents research activities about enabling internet of things (IoT) in smart grids; in particular, several proposals aim to realize interworking between IoT and smart grid communication standards, allowing exchange of information between IoT devices and the electrical grid components. Semantic interoperability should be achieved in an interworking solution in order to provide a common meaning of the data exchanged by heterogeneous devices, even if they belong to different domains. Until now, semantic interoperability remains an open challenge in the smart grid field. The paper aims to propose a novel solution of interworking between two of the most used communication systems in smart grids and IoT domains, i.e., IEC 61850 and oneM2M, respectively. A semantic interoperability solution is also proposed to be used in the interworking scheme here presented.

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“…In recent years, the digitalization of electrical networks has become a reality through the transformation of traditional electrical systems into intelligent and connected networks of devices, paving the way for an environmentally friendly, reliable and smart power system [1]. This situation is favored by several challenges, firstly climate change and environmental obligations require the control of CO2 emissions by improving reliability and minimizing energy losses.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective optimization-based model for the deployment of reclosers and remote-controlled switches using NSGA2 and entropy weighted TOPSIS method

Lekbich

Belfqih

Ouaderhman³

et al. 2020

IJEECS

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Since they are fast, remote-controlled, automated and intelligent, reclosers and switches are an inevitable solution for improving the reliability of intelligent electrical distribution networks at optimal cost. However, their location and coordination have great effects on the protection and automation strategies of complex electrical distribution networks against multiple unpredictable faults. Which requires a flexible and multi-criteria optimization method. In this article, we propose a multi-objective method based on an analytical model by considering the fault rate, restoration times, outage cost and coordination between devices. The non-dominated genetic sorting algorithm II was proposed to obtain the optimal Pareto solutions, and a technique of performance control by similarity with the ideal solution was used to classify them. The objective criteria weights are based on the entropy method which allows solutions to be obtained and better classified with the minimum of subjectivity. The IEEE33 and IEEE13 bus test networks were used to verify the method. The results obtained are compared to a binary multi-objective particle swarm optimization method and the results show that the proposed method reduces the overall costs, reduces the undelivered energy of the system and improves the reliability of the service.

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Challenges, issues and opportunities for the development of smart grid

Cited by 37 publications

References 30 publications

The assesement of the shunt active filter efficiency under varied power supply source and load parameters

The assesement of the shunt active filter efficiency under varied power supply source and load parameters

Semantic Interoperability between IEC 61850 and oneM2M for IoT-Enabled Smart Grids

A multi-objective optimization-based model for the deployment of reclosers and remote-controlled switches using NSGA2 and entropy weighted TOPSIS method

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