A survey on wireless sensor networks for smart grid

Fadel, Etimad; Güngör, Vehbi Çağrı; Nassef, Laila; Akkari, Nadine; Maik, M.G. Abbas; Almasri, Suleiman; Akyildiz, Ian F.

doi:10.1016/j.comcom.2015.09.006

Cited by 285 publications

(145 citation statements)

References 42 publications

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“…This triad is also valuable for organising research efforts shedding light into these challenges. Technological adaptation-oriented research has contributed with knowledge on the integration of electricity storage in distribution systems [37][38][39][40][41], integration of distributed generation sources from wind [42][43][44], solar [45][46][47][48][49], CHP [50][51][52], and micro-CHP [53][54][55][56], integration of EVs [57][58][59][60], integration of smart meters [61][62][63][64][65][66], implementation of DR [67][68][69][70][71], deployment of active distribution management systems [72][73][74][75][76], and advanced grid monitoring and control [77][78][79], as well as the use of artificial intelligence methods [80][81][82], and machine learning applicati...…”

Section: Electricity Distribution Adaptation To a Smarter And More Sumentioning

confidence: 99%

The challenging paradigm of interrelated energy systems towards a more sustainable future

Soares

Martins

Carvalho³

et al. 2018

Renewable and Sustainable Energy Reviews

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This paper brings together several contemporary topics in energy systems aiming to provide a literature review based reflection on how several interrelated energy systems can contribute together to a more sustainable world. Some directions are discussed, such as the improvement of the energy efficiency and environmental performance of the systems, the development of new technologies, the increase of the use of renewable energy sources, the promotion of holistic and multidisciplinary studies, and the implementation of new management rules and "eco-friendly and sustainable" oriented policies at different scales. The interrelations of the diverse energy systems are also discussed in order to address their main social-economic-environmental impacts. The subjects covered include the assessment of the electricity market and its main players (demand, supply, distribution), the evaluation of some urban systems (buildings, transportation, commuting), the analysis of the implementation of renewable energy cooperatives, the discussion of the diffusion of the electric vehicle and the importance of new bioenergy systems. This paper also presents relevant research carried out in the framework of both the Energy for Sustainability Initiative of the University of Coimbra and the Sustainable Energy Systems focus area of the MIT-Portugal Program. To conclude, several research topics that should be addressed in the near future are proposed.

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Section: Electricity Distribution Adaptation To a Smarter And More Sumentioning

confidence: 99%

The challenging paradigm of interrelated energy systems towards a more sustainable future

Soares

Martins

Carvalho³

et al. 2018

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

show abstract

“…There exist several promising applications of WSNs such as monitoring and control of industrial equipment, home automation, patient monitoring, environmental monitoring, climate change monitoring, detecting hazardous chemical levels, combat field surveillance, remotely detecting or controlling landmines, intrusion detection, criminal hunting, and others [4][5][6][7][8]. These applications need the node identity and location information to process the sensor data at the destination.…”

Section: Introductionmentioning

confidence: 99%

Detecting Sybil Attacks In Wireless Sensor Networks Using Sequential Analysis

Vamsi

Kant

2016

International Journal on Smart Sensing and Intelligent Systems

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Wireless Sensor Networks (WSNs) suffer from many security attacks when deployed either in remote or hostile environments. Among possible attacks, the Sybil attack is one of the severe attacks in which malicious nodes report false identities and location information such that the remaining nodes believe that many nodes exist in their vicinity. The current study proposes a method for detecting Sybil attack using sequential analysis. This method works in two stages. First, it collects the evidences by observing neighboring node activities. Further, the collected evidences are consolidated to provide input to the second stage. In the second stage, collected evidences are validated using the sequential probability ratio test to decide whether the neighbor node is Sybil or benign. The proposed method has been evaluated using the network simulator ns-2. Simulation results show that the proposed method is robust in detecting Sybil attacks with very low false positive and false negative rates.

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“…One of the most reliable applications of these energy harvesters is the acquisition of data for the Smart Grids using distributed sensors [6,7] to read voltage, current, temperature or speed [5]. Other applications in this area of interest include the use of harvesters to scavenge energy from electric fields to evaluate the status of high-and medium-voltage assets [8].…”

Section: Introductionmentioning

confidence: 99%

High Frequency Inductive Energy Harvester for the Maintenance of Electrical Assets

Robles

Molina

2016

Proceedings of the 3rd International Electronic Conference on Sensors and Applications, 15–30 November 2016; Availabl

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Extracting tiny amounts of energy from non-conventional sources using Peltier cells, piezoelectrics, antennas or inductive probes has become very popular in recent years to power low-consuming sensors in IoT applications and smart grids. These energy harvesting methods rely on the continuous generation of small quantities of electrical energy scavenged from heat, vibration or electromagnetic emissions. This energy is stored in batteries or capacitors reaching low-voltage levels that cannot be used directly to power any device. In general, the voltage is boosted to more appropriate levels with a converter. Using inductive sensors to harvest energy from electrical power lines is common knowledge. Obtaining this energy from high-power low-frequency signals is currently possible and, in some cases, reliable and profitable. The aim of this paper is to evaluate the possibility of harvesting energy from extremely low-power and high-frequency events that occur in electrical assets when the insulation is damaged. These events, called partial discharges, are used in electrical maintenance to detect possible defects in the insulation. Evaluating partial discharge activity is a common protocol in all utilities that requires the use of expensive sensors and acquisition systems, and in most occasions, decommissioning the asset to connect the measuring system. The energy from these phenomena is stored in capacitors and the use of a high-frequency voltage multiplier allows to reach voltages close to 4 V. This voltage is proportional to the number of partial discharges in a certain time span. Therefore, if the number of partial discharges per time-unit has increased noticeably, the insulation has deteriorated and the asset should be decommissioned to evaluate the damages. The paper tests the possibility of using this method as an early-warning system in the maintenance of electrical assets.

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A survey on wireless sensor networks for smart grid

Cited by 285 publications

References 42 publications

The challenging paradigm of interrelated energy systems towards a more sustainable future

The challenging paradigm of interrelated energy systems towards a more sustainable future

Detecting Sybil Attacks In Wireless Sensor Networks Using Sequential Analysis

High Frequency Inductive Energy Harvester for the Maintenance of Electrical Assets

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