Energy meters evolution in smart grids: A review

Avancini, Danielly B.; Rodrigues, Joel J. P. C.; Martins, Simion G.B.; Rabêlo, Ricardo A. L.; Al‐Muhtadi, Jalal; Šolić, Petar

doi:10.1016/j.jclepro.2019.01.229

Cited by 241 publications

(137 citation statements)

References 56 publications

Supporting

Mentioning

112

Contrasting

Unclassified

Order By: Relevance

“…It is also a step towards demand-side management, by introducing dynamic pricing, encouraging more efficient use of the electricity and providing responsive data for balancing electric loads in order to reduce blackouts. Exchange of current meters to SM, in the power system, may also allow the ability to avoid the capital expense of building new power plants by optimizing the usage of the existing resources [12,13].…”

Section: Introductionmentioning

confidence: 99%

Attitudes and Opinions of Social Media Users Towards Smart Meters’ Rollout in Turkey

2020

View full text Add to dashboard Cite

Increasing the efficiency of electricity transmission is nearing the top of the agenda in many countries around the world. Turkey, the world’s most newly industrialized country, is no different. Modernizing the current transmission grids to smart grids (SG) and the national rollout of smart meters (SM), are some of the measures taken by the government to meet the growing demand for electricity. Consumer acceptance and engagement are among the most important elements for the success of SG and SM, however, there have not been much studies done among Turkish electricity consumers. This purpose of this study is to fill this void, by detailing the attitudes, awareness and expectations among Turkish citizens regarding SM and listing recommendations for energy companies based on the findings. Through an online questionnaire, responses from 504 social media users were collected and analyzed. Results show that the consumers are open towards the acceptance of SM, but there is a need to raise awareness and knowledge through proper communication channels. The study has also revealed that a range of conventional and digital channels need to be actively used in order to enhance consumer willingness to accept SM. Increasing social interactions regarding SM is one of the key recommendations detailed by the authors.

show abstract

Section: Introductionmentioning

confidence: 99%

Attitudes and Opinions of Social Media Users Towards Smart Meters’ Rollout in Turkey

2020

View full text Add to dashboard Cite

show abstract

“…To check how the MOTS method works, the values D m = 1, T s = 0.01, P f a = 0.01, S = 10 have been applied in simulation. In the following, three different scenarios are defined for this purpose: 6,9,15,20,25,40,50,80,100] λ (2) = [100, 80,50,40,25,20,15,9,6,3] λ (3) = [15,15,15,15,15,15,15,15,15,15] In the first scenario, the PUs arrival rate vary from 3 APS (in sub-channel with channel number index (CNI) equal to 1 (CNI = 1)) to 100 APS (for CNI = 10). In Figure 11, an effectiveness evaluation of the proposed algorithm MOTS on channels contribution to data transfer in three different scenarios is presented as a histogram.…”

Section: Performance Evaluation Of the Mots Methods For Channel Ratingmentioning

confidence: 99%

“…For this purpose, the parameters of the model described in Section 3 have been initialized as T S = 0.01 s, D m = 1 s, S = 1, and I b = 6, 291, 456 bit. Now, we increase the arrival rate from 2 arrivals per second (APC) to 40 APC (λ i = [2,5,10,20,40]). Figure 8 shows the NSSI in terms of the arrival rate while Figure 9 depicts the length of the packet.…”

Section: Simulation Of the Proposed Jopss Modelmentioning

confidence: 99%

“…The smart grid communication technologies cover various types of networks with different areas and applications which should be fitted with relevant requirements [12,19]. Some network types are mentioned below [20]:…”

Section: Introductionmentioning

confidence: 99%

“…Home Area Networks (HAN) which includes customers' networks and other application networks in customer domain for home automation, smart homes, smart meters, and etc. [20,27]. Wide ranges of network types with various data mean that these infrastructures should carry a massive amount of information such as control signals, measured data, monitoring data, multimedia end etc.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Image Transmission over Cognitive Radio Networks for Smart Grid Applications

2019

View full text Add to dashboard Cite

Today, Smart Grids (SGs), as the goal of the next-generation power grid system, span extremely wide aspects from power generation to end-user utilities. In smart grids, Energy and Information flows are mutually dependent and performance degradation of one side may have a high impact on the other side. In this work, we introduce our architecture for monitoring of Wind Turbine (WT) farms in smart grids. In our proposed system an industrial camera is embedded on a Wireless Cognitive Radio node for each WT to capture appropriate images and stream videos to the cognitive coordinator. Any packet loss in transmission between an embedded cognitive node and the coordinator can degrade peak signal-to-noise ratio (PSNR) of the received images. The image streaming is a delay sensitive transmission which should be done in harsh environments in SGs. To tackle these challenging issues, we introduce our efficient model, called JOPSS, for joint optimization of both packet size and Number of Spectrum Sensing Iterations (NSSI) during image transmission in time-restricted conditions. We define our proposed objective function as the quotient of the Overhead Time and the Effective Transmission Time (ETT). In addition, we introduce our methods based on the Minimum of Overhead Time Channel Selection (MOTS) for the efficient channel selection along with Dynamic Parameter Updating Procedure (DPUP) to benefit different strategies in Mandatory and Proactive Handoffs (MHO/PHO). The obtained results show that noticeable improvements in both PSNR and feature-similarity (FSIM) can be achieved on our models JOPSS and JOPSS-SAFE, respectively.

show abstract