Real-time smart meters network for energy management

ACTA IMEKO ◽  
2013 ◽  
Vol 2 (1) ◽  
pp. 40 ◽  
Author(s):  
Giuseppe Del Prete ◽  
Daniele Gallo ◽  
Carmine Landi ◽  
Mario Luiso
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Smart Grids ◽  
Energy Use ◽  
Low Cost ◽  
Quality Parameters ◽  
Smart Meters ◽  
Authentication Code ◽  
Customer Data ◽  
The Web

In this paper, an architecture of a low-cost ARM-based Smart Metering network is presented. The system is designed to be suitable for Smart Grids applications aimed to a more efficient energy use according to the article 13 of Directive 2006/32/EC. The network is composed by several slave smart meters that continuously monitor loads and energy generators to make available information in real-time such as power and energy consumption/generation and several power quality parameters communicating them via CAN bus to specific master device called data aggregator. This device, integrating the information coming from field devices (energy demands of loads, the current energy production and co-generator status), with information obtained through the web access (a prevision on the expected availability of energy produced by renewable sources, current and future energy price, customer remote setting), can take decisions to implement a suitable energy management aimed to cost saving or whatever else strategy chosen by customer. Data aggregator also allows checking current consumption locally, thanks to a display, and remotely, using the web browser access. To prevent external attacks a low computational burden protection software based on Message Authentication Code (MAC) has been implemented. Finally, characterization test of realized apparatus have shown good performance both in terms of communication delays and measurement uncertainty.

scholarly journals Real-Time Framework for Energy Management System of a Smart Microgrid Using Multiagent Systems

2018 ◽  
Author(s):  
Roberto Netto ◽  
Guilherme Ramalho ◽  
Benedito Bonatto ◽  
Otavio Carpinteiro ◽  
A. C. Zambroni de Souza ◽  
...  
Keyword(s):  
Power System ◽  
Real Time ◽  
Energy Management ◽  
Multiagent Systems ◽  
Time Management ◽  
Smart Grids ◽  
Management System ◽  
Energy Management System ◽  
Telecommunication System ◽  
System Characteristics

This paper deals with the problem of real-time management of Smart Grids. For this sake, the energy management is integrated with the power system through a telecommunication system. The use of Multiagent Systems leads the proposed algorithm to find the best-integrated solution, taking into consideration the operating scenario and the system characteristics. The proposed technique is tested with the help of an academic microgrid, so the results may be replicated.

scholarly journals Exploring the Privacy Issues of Smart-Grid Infrastructure – A Network Security Perspective

2019 ◽  
pp. 165-169
Keyword(s):  
Network Security ◽  
Smart Grid ◽  
Real Time ◽  
Smart Grids ◽  
Data Communication ◽  
Grid Infrastructure ◽  
Smart Meters ◽  
Holistic View ◽  
The Public ◽  
Public Networks

The proposed smart grid infrastructure aims to make use of the existing public networks such as internet for data communication between consumer premises to the public power utility network. The smart-grid adopts smart-meters which basically collect vast amount of data to provide a holistic view of the connected load behavior and preferences pattern related to power and water consumption. The smart-grids provide benefits to the utilities and consumers alike. For utilities the benefits are real time data collection, ease of power management, and reduced personnel requirement. The benefits for the users on the other hand include availability of real time usage data, providing information on ways to minimize power consumption, monetary savings and so on. Since, the smart-grid uses existing public networks the utilities do not have the burden of installing any new infrastructure (except for installing the smart-meters), thus an added advantage. But, the downside of using the public network is susceptibility to a variety of network attacks, if not guarded well against. This paper talks about the various network security vulnerabilities that exist and the measures to patch the same before employing in the smart grid networks.

The Prehistory of the Internet and its Traces in the Present: Implications for Defining the Field

2013 ◽  
Author(s):  
Martin C. J. Elton ◽  
John Carey
Keyword(s):  
New Media ◽  
Real Time ◽  
Low Cost ◽  
Computer Systems ◽  
Information Services ◽  
The Internet ◽  
Research Issues ◽  
Online Databases ◽  
Internet Community ◽  
The Web

This chapter describes how relevant the study of new media and telecommunication innovations, such as videotex, has been to research on developments around the Internet and the Web. It elaborates the distinctions between the Internet and the Web. Additionally, some of the more interesting links between research issues from long ago (in Internet time!) and those of significance today are explained. Online databases developed the initial designs for information services that would appear on the Web. CompuServe and The Source are the best-known ASCII videotex services. These videotex services provide links to other organisations with which the companies did business. The Internet was initially an infrastructure that efficiently transmitted data and at very low cost; fairly soon, it also became able to transmit asynchronous and real-time voice and video. The Internet community resolved the problem of interlinking disparate computer systems so as to produce new and synergistic wholes.

scholarly journals Generation of dynamic energy management using data mining techniques basing on big data analytics isssues in smart grids

2018 ◽  
Vol 7 (2.26) ◽  
pp. 85
Author(s):  
Dr E. Laxmi Lydia ◽  
B Prasanna Kumar ◽  
D Ramya
Keyword(s):  
Big Data ◽  
Smart Grid ◽  
Data Processing ◽  
Energy Management ◽  
Electricity Market ◽  
Smart Grids ◽  
Data Analytics ◽  
Performance Estimation ◽  
Smart Meters ◽  
Dynamic Energy Management

The Optimal bidirectional flow of the electric power and the communicational data between suppliers and consumers are greatly enabled by the Smart Electricity in Grid. Reliable and Feasible micro energy generated due to Dynamic Energy Management (DEM) and the electricity market by consumers and suppliers. The smart grid features ICCM, aims to bring out the power at reduced cost. Powerful and practical DEM relies on load and sustainable production. Smart meters attain the huge data quantity through practical methods and solutions in this real world working. Smart Grids are enhanced by the operations such as data analytics, giving out high performance estimation, Adequate data network management and cloud computing. This paper aims focusthe issuesin big data and challenges experienced by the Dynamic Energy Management signed in Smart Grid. A detail explanation of data processing techniques that are mostly implemented and It also provides a brief description of the most commonly used data processing methods and recommended proposes a upcoming future directional research in thefield. 

scholarly journals OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2752
Author(s):  
Angelina D. Bintoudi ◽  
Lampros Zyglakis ◽  
Apostolos C. Tsolakis ◽  
Paschalis A. Gkaidatzis ◽  
Athanasios Tryferidis ◽  
...  
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Smart Grids ◽  
Real Life ◽  
Building Blocks ◽  
Optimal Scheduling ◽  
Storage Unit ◽  
Time Operation ◽  
Real Time Operation ◽  
Pv Generation

As microgrids have gained increasing attention over the last decade, more and more applications have emerged, ranging from islanded remote infrastructures to active building blocks of smart grids. To optimally manage the various microgrid assets towards maximum profit, while taking into account reliability and stability, it is essential to properly schedule the overall operation. To that end, this paper presents an optimal scheduling framework for microgrids both for day-ahead and real-time operation. In terms of real-time, this framework evaluates the real-time operation and, based on deviations, it re-optimises the schedule dynamically in order to continuously provide the best possible solution in terms of economic benefit and energy management. To assess the solution, the designed framework has been deployed to a real-life microgrid establishment consisting of residential loads, a PV array and a storage unit. Results demonstrate not only the benefits of the day-ahead optimal scheduling, but also the importance of dynamic re-optimisation when deviations occur between forecasted and real-time values. Given the intermittency of PV generation as well as the stochastic nature of consumption, real-time adaptation leads to significantly improved results.

scholarly journals Static, Portable and Smart Detection of Water Quality in Panchayath Distribution Tank

2019 ◽  
Vol 8 (2S5) ◽  
pp. 103-108
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Cost Effective ◽  
Daily Basis ◽  
Quality Parameters ◽  
Sensor Data ◽  
Sensor Technology ◽  
Real Time System ◽  
Quality Of Water ◽  
Physical And Chemical

The significant crunch in the Current world is Water pollution. It has created an abundant influence on the Environment. With the intention of the non-toxic distribution of the water and its eminence should be monitored at real time. This paper suggested the smart detection with low cost real time system which is used to monitor the quality of water through IOT(internet of things). The system entail of different sensors which are used to measure the physical and chemical parameters of the water. The quality parameters are temperature, pH, turbidity, conductivity and Total dissolved solids of the water are measured. Commercially available products capable of monitoring such parameters are usually somewhat expensive and the data’s are collected by mobile van. Using Sensor technology provides a cost-effective and pre-eminent reliable as they can provide real time output. The measured values from the sensors can be observed by the core controller. The controller was programmed to monitor the distribution tank on a daily basis to hour basis monitoring. The TIVA C series is used as a core controller. The Controller is mounted on the side of the distribution tank. Finally, the sensor data from the controller is sent to Wi-Fi module through UART protocol. Wi-fi Module is connected to a public Wi-Fi system through which data is seen by the locals who are all connected to that Wi-Fi network.

scholarly journals Capturing high-resolution water demand data in commercial buildings

2021 ◽  
Author(s):  
Peter Melville-Shreeve ◽  
Sarah Cotterill ◽  
David Butler
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Water Demand ◽  
Rainwater Harvesting ◽  
Service Providers ◽  
Low Cost ◽  
Time Data ◽  
Smart Meters ◽  
High Resolution Data ◽  
Site Water

Abstract Water demand measurements have historically been conducted manually, from meter readings less than once per month. Leading water service providers have begun to deploy smart meters to collect high-resolution data. A low-cost flush counter was developed and connected to a real-time monitoring platform for 119 ultra-low flush toilets in 7 buildings on a university campus to explore how building users influence water demand. Toilet use followed a typical weekly pattern in which weekday use was 92% ± 4 higher than weekend use. Toilet demand was higher during term time and showed a strong, positive relationship with the number of building occupants. Mixed-use buildings tended to have greater variation in toilet use between term time and holidays than office-use buildings. The findings suggest that the flush sensor methodology is a reliable method for further consideration. Supplementary data from the study's datasets will enable practitioners to use captured data for (i) forecast models to inform water resource plans; (ii) alarm systems to automate maintenance scheduling; (iii) dynamic cleaning schedules; (iv) monitoring of building usage rates; (v) design of smart rainwater harvesting to meet demand from real-time data; and (vi) exploring dynamic water pricing models, to incentivise optimal on-site water storage strategies.

scholarly journals Cluster of Single-Board Computers at the Edge for Smart Grids Applications

2021 ◽  
Vol 11 (22) ◽  
pp. 10981
Author(s):  
Safae Bourhnane ◽  
Mohamed Riduan Abid ◽  
Khalid Zine-dine ◽  
Najib Elkamoun ◽  
Driss Benhaddou
Keyword(s):  
Smart Grids ◽  
Programming Model ◽  
Low Cost ◽  
Renewable Energy Sources ◽  
Process Data ◽  
Smart Meters ◽  
To Come ◽  
The One ◽  
Cloud Servers ◽  
And Control

Increases in power demand and consumption are very noticeable. This increase presents a number of challenges to the traditional grid systems. Thus, there is the need to come up with a new solution that copes with the stringent demand on energy and provides better power quality, which gives a better experience to the end users. This is how the concept of smart grids (SG) came to light. SGs have been introduced to better monitor and control the power produced and consumed. In addition to this, SGs help with reducing the electricity bill through the integration of renewable energy sources. The underlying smartness of the SGs resides in the flow of information in addition to the flow of energy. Information/data flowing implies the use of smart sensors and smart meters that sense and send data about the power produced and consumed, and the data about the environment where they are deployed. This makes SGs a direct application of IoT. In this paper, we are implementing an edge platform that is based on single-board computers (SBCs) to process data stemming from SG. The use of SBCs is driven by the energy efficiency and cost effectiveness concepts that the SG is trying to apply. The platform in question is tested against a distributed job that averages random numbers using Hadoop’s MapReduce programming model. The SBC that we are using in this implementation is the NVIDIA Jetson Developer Kit. The results of this work show that a cluster of SBCs is low-cost, easy to maintain, and simple to deploy, which makes it a great candidate for providing edge computing. Although it revealed a performance that beat the one of the remote cloud servers, it could not outperform the single-computer edge platform.

scholarly journals Low cost, Robust and Multi-Functional Smart Meter

2021 ◽  
Author(s):  
Akindele Olufemi Abegunde ◽  
Doudou Nanitamo Luta ◽  
Atanda Kamoru Raji
Keyword(s):  
Liquid Crystal ◽  
Real Time ◽  
Smart Grids ◽  
Liquid Crystal Display ◽  
Low Cost ◽  
Measurement Data ◽  
Power Grids ◽  
Smart Meter ◽  
Electrical Measurements ◽  
Communication Device

Environmental awareness, current trends in the power market, the quest for energy efficiency, and the progressive transformation of electricity consumers to prosumers are the primary drives for the gradual shift from the old power grids into the smart grids. The deployment of renewable dispersed generation systems and energy storage units uncovered the need for smart metering to oversee and control those generation systems. This chapter presents the design and development of a robust, efficient, multi-functional, and low-cost smart meter. The proposed metering system has added features that enabled the utilities to recover the meter energy measurement data remotely. The system allows monitoring and transmission of energy consumed in real-time. It considers using a microcontroller board as the controlling unit to execute control and monitor activities. A liquid crystal display displays standard electrical measurements such as current, voltage, power, and energy consumption. The external communication device is required in the unit’s actualization, in conjunction with the control unit based on the existing mobile technology. It stands as the intermediary between the nearby available utility station and consumers or end-users. In conclusion, liquid crystal display displays real-time based data for the end-user to visualize. The usage data billing is done within thirty seconds, stored, and trans-received the process for data collection, keeping, and billing generation.

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