Survey on smart grid technologies- smart metering, IoT and EMS

Jain, Shobhit; Kumar, Nitesh; Paventhan, A.; Chinnaiyan, V. Kumar; Arnachalam, V.; Pradish, M.

doi:10.1109/sceecs.2014.6804465

Cited by 53 publications

(17 citation statements)

References 10 publications

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“…There is another review [21], but it only focuses on satellite and wireless-based M2M services applied to the SG. Jain et al [22] also presents a survey on SG technologies, including smart metering, IoT and energy management system. However, firstly it is a very short survey and secondly, it focuses separately on the technologies, rather than surveying them combinely as IoT-aided SG system.…”

Section: B Comparison With Existing Survey Articlesmentioning

confidence: 99%

“…Bedi et al [19] 2018 Electric power and energy systems, mainly how IoT can be applied to eletric power and energy systems, e.g., the value of IoT in electric power network. Also presents an example of IoT in electric power and energy systems Reka et al [20] 2018 Providing awareness to researchers in the field of IoT and SG systems Sohraby et al [21] 2017 Satellite and wireless-based M2M services applied to SG Jain et al [22] 2014 A short survey on SG technologies, including smart metering, IoT and energy management system with separate focus on the technologies, rather than surveying them combinely as IoT-aided SG system Al-Ali and Aburukba [23] 2015 Presents a conceptual model for SG within the IoT context with the main focus on SG communication layer based on IPv6 as the backbone Viswanath et al [24] 2016 Developed a testbed for residential SG, i.e., smart home that controls the energy based on dynamic pricing and performs an energy management system. The authors also developed an Android application for allowing remote access to consumers Yang [25] 2019 Presents the application of IoT in SG with a focus on brief overview of opportunities, challenges and future directions.…”

Section: ) Novelty and Contributions Of This Papermentioning

confidence: 99%

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Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

et al. 2019

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Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation and the tracking of such devices. This is achieved with the help of Internet of Things (IoT). IoT helps SG systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, we provide a comprehensive survey on IoTaided SG systems, which includes the existing architectures, applications and prototypes of IoT-aided SG systems. This survey also highlights the open issues, challenges and future research directions for IoT-aided SG systems. energy in accordance with the needs of the consumers within the constraints of power systems. Nearly, all the generation, transmission and distribution of electrical energy is owned by the utility companies who provide electrical energy to consumers and bill them accordingly to recover their costs and earn profit.The traditional power grid worked very well from its inception in 1870 until 1970 [1]. Even though the consumers' demand for energy grew exponentially, it was still rather predictable. However, there has been a dramatic change in the nature of electrical energy consumption since 1970, as the load of electronic devices has become the fastest growing element of the total electricity demand and new sources of high electricity consumption have been developed, such as Electric Vehicles (EVs). The power grids endure a significant wastage of energy due to a number of factors, such as consumers' inefficient appliances and lack of smart technology, inefficient routing and dispensation of electrical energy, unreliable communication and monitoring, and most importantly, lack of a mechanism to store the generated electrical energy [2]- [4]. Furthermore, power grids face some other challenges as well, including growing energy demand, reliability, security, emerging renewable energy sources and aging infrastructure problems to name a few.In order to solve these challenges, the Smart Grid (SG) paradigm has appeared as a promising solution with a variety of information and communication technologies. Such technologies can improve the effectiveness, efficiency, reliability, security, sustainability, stability and scalability of the traditional power grid [5]. SG differs from traditional power grids in many aspects. For instance, SG offers a bi-directional communicat...

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Section: B Comparison With Existing Survey Articlesmentioning

confidence: 99%

Section: ) Novelty and Contributions Of This Papermentioning

confidence: 99%

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

et al. 2019

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“…Summarizing all mentioned above, leveraging IIoT concept to its full potential of enables utilities companies to build deeper consumer relationships and new revenue streams over time. [15] II. PRODUCT DEVELOPMENT Over the course of two years startup by D. Bolobonov and A. Frolov developed five hardware prototypes and three different IT services, accorsing to the service-oriented architecture concept, actively developed in Peter the Great Saint Petersburg Polytechnic University [16,17].…”

Section: Introductionmentioning

confidence: 99%

IoT in Smart Cities’ Utility Systems: from prototype to production

Bolobonov¹,

Ilin²,

Korolev³

et al. 2019

Proceedings of the International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)

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Smart Cities, Industrial Internet of Things (IIoT), Smart Grids and etc. are products of Industry 4.0 that are on verge on becoming mass-implemented after 1 years in development by different companies and startups. While these technologies are nowhere from being completely novel, they have significant undiscovered potential. Companies invest millions into research and development and often fail to achieve desired outcome due to blurred vision, prolonged development and other reasons. This paper analyzes errors during system modeling cycle while also proposing framework for developing IIoT system in Smart City that enables companies to accelerate development of new products while also reducing costs. IIoT system developed by the authors of this paper is an end-to-end solution for Smart Cities that mainly focuses on gathering data of housing sector's utility systems such as water pressure and temperature, voltage and others. During development several working prototypes had to be scrapped due to not meeting requirements of potential and real customers. Over time an approach that allowed rapid incorporation of customer requests into the solution was developed. It includes modular hardware coupled with microservice-based cloud software and agile software development. Application of this approach allowed to satisfy needs of increasing number of customers.

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“…Geographic information system (GIS), outage management system (OMS) and enterprise application integration are some of them (US Department of Energy, 2009). To manage electricity in home environment that is, to reduce wastage and improve customer experience, advanced metering infrastructure (AMI) with two way communication and meter data management systems (MDMS) are used (Jain et al, 2014). AMI allows utilities to collect information about consumption pattern of users in real time and provide customers time-based pricing and thus improves customer experience.…”

Section: Introductionmentioning

confidence: 99%

Multi objective optimisation framework for smart metering in smart grids using multi-objective particle swarm optimisation

Bansal

Singh

2017

IJDSSS

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Abstract:Demand of electricity is increasing day by day. One major consumer of electricity is residential sector. Smart grid offers demand response management to handle such increasing demand. In home energy management system (HEMS), demand response is implemented using smart meters. In this paper, an algorithm is proposed to optimise the demand in home environment and unease level of user is also cared about at the same time. The proposed algorithm is implemented using multi-objective optimisation framework. It is evident from results that cost of electricity is reduced because of optimal demand and on the other hand, unease level of user is within the acceptable limit.Keywords: smart grid; smart meter; energy management; multi objective optimisation.Reference to this paper should be made as follows: Bansal, P. and Singh, A. (2017) 'Multi objective optimisation framework for smart metering in smart grids using multi-objective particle swarm optimisation', Int.

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Survey on smart grid technologies- smart metering, IoT and EMS

Cited by 53 publications

References 10 publications

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

IoT in Smart Cities’ Utility Systems: from prototype to production

Multi objective optimisation framework for smart metering in smart grids using multi-objective particle swarm optimisation

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