scholarly journals User-Centred Scalable Big Data Visualizer for Power Consumption Data in the Electrical Secondary Distribution Network

2020 ◽  
Vol 39 (2) ◽  
pp. 177-197
Author(s):  
Lucina Lawi ◽  
Ellen Kalinga
Keyword(s):  
Big Data ◽  
Smart Grids ◽  
Process Model ◽  
Electrical Power ◽  
Distribution Network ◽  
Point Of View ◽  
Design Activity ◽  
Smart Meters ◽  
Design Process Model ◽  
Secondary Distribution

Establishment of Smart Grids for electrical power has been practised worldwide for the purpose of bringing reliability, security, and efficient management of electrical power networks for enhancing quality service to the society. Apart from the potential aim, smart grid has been a challenge to developing countries, including Tanzania from cost and technology point of view. Due to the use of many smart equipment involved in smart grids like Advanced Metering Infrastructure (AMI) equipped with smart meters and sensors, handling and managing big data has been a challenge. Among the challenges is the issue of visualizing the Big Data due to big volume generated with high velocity. This paper is developing a user-centered scalable big data visualizer for the electrical secondary distribution network by making use of design process model by Akanmu et al. (2017) and design activity framework by McKenna et al. (2014). The approach involves three phases: pre- development, development and post-development phase. The paper reviews several approaches in visualization and demonstrates effective big data visualization. The paper managed to visualize households’ units purchased against power consumed as well as balancing visualization of transformer phases.

scholarly journals Vehicle Electrification: New Challenges and Opportunities for Smart Grids

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 118 ◽  
Author(s):  
Vitor Monteiro ◽  
Jose Afonso ◽  
Joao Ferreira ◽  
Joao Afonso
Keyword(s):  
Power Electronics ◽  
Smart Grids ◽  
New Technologies ◽  
Renewable Energy Sources ◽  
Grid Point ◽  
Electrical Power ◽  
Point Of View ◽  
Power Grids ◽  
Challenges And Opportunities ◽  
New Challenges

Nowadays, concerns about climate change have contributed significantly to changing the paradigm in the urban transportation sector towards vehicle electrification, where purely electric or hybrid vehicles are increasingly a new reality, supported by all major automotive brands. Nevertheless, new challenges are imposed on the current electrical power grids in terms of a synergistic, progressive, dynamic and stable integration of electric mobility. Besides the traditional unidirectional charging, more and more, the adoption of a bidirectional interconnection is expected to be a reality. In addition, whenever the vehicle is plugged-in, the on-board power electronics can also be used for other purposes, such as in the event of a power failure, regardless if the vehicle is in charging mode or not. Other new opportunities, from the electrical grid point of view, are even more relevant in the context of off-board power electronics systems, which can be enhanced with new features as, for example, compensation of power quality problems or interface with renewable energy sources. In this sense, this paper aims to present, in a comprehensive way, the new challenges and opportunities that smart grids are facing, including the new technologies in the vehicle electrification, towards a sustainable future. A theoretical analysis is also presented and supported by experimental validation based on developed laboratory prototypes.

scholarly journals Industry 4.0 Contribution to Asset Management in the Electrical Industry

2021 ◽  
Vol 13 (18) ◽  
pp. 10369
Author(s):  
Gabrielle Biard ◽  
Georges Abdul Nour
Keyword(s):  
Big Data ◽  
Asset Management ◽  
Smart Grids ◽  
Industry 4.0 ◽  
Current Model ◽  
Relevant Information ◽  
Point Of View ◽  
Electrical Networks ◽  
Use Of Resources ◽  
Technological Developments

Industry 4.0 has revolutionized paradigms by leading to major technological developments in several sectors, including the energy sector. Aging equipment fleets and changing demand are challenges facing electricity companies. Forced to limit resources, these organizations must question their method and the current model of asset management (AM). The objective of this article is to detail how industry 4.0 can improve the AM of electrical networks from a global point of view. To do so, the industry 4.0 tools will be presented, as well as a review of the literature on their application and benefits in this area. From the literature review conducted, we observe that once properly structured and managed, big data forms the basis for the implementation of advanced tools and technologies in electrical networks. The data generated by smart grids and data compiled for several years in electrical networks have the characteristics of big data. Therefore, it leaves room for a multitude of possibilities for comprehensive analysis and highly relevant information. Several tools and technologies, such as modeling, simulation as well as the use of algorithms and IoT, combined with big data analysis, leads to innovations that serve a common goal. They facilitate the control of reliability-related risks, maximize the performance of assets, and optimize the intervention frequency. Consequently, they minimize the use of resources by helping decision-making processes.

IoT Big Data Security, Privacy and Challenges Related to Smart Grid

2022 ◽  
pp. 368-379
Author(s):  
Kimmi Kumari ◽  
M. Mrunalini
Keyword(s):  
Big Data ◽  
Smart Grid ◽  
Smart Grids ◽  
Type Systems ◽  
Heterogeneous Data ◽  
Security Measures ◽  
Smart Meters ◽  
Efficient Manner ◽  
Security Issues ◽  
Iot Devices

The highly interconnected network of heterogeneous devices which enables all kinds of communications to take place in an efficient manner is referred to as “IOT.” In the current situation, the data are increasing day by day in size as well as in terms of complexities. These are the big data which are in huge demand in the industrial sectors. Various IT sectors are adopting big data present on IOT for the growth of their companies and fulfilling their requirements. But organizations are facing a lot of security issues and challenges while protecting their confidential data. IOT type systems require security while communications which is required currently by configuration levels of security algorithms, but these algorithms give more priority to functionalities of the applications over security. Smart grids have become one of the major subjects of discussions when the demands for IOT devices increases. The requirements arise related to the generation and transmission of electricity, consumption of electricity being monitored, etc. The system which is responsible to collect heterogeneous data are a complicated structure and some of its major subsystems which they require for smooth communications include log servers, smart meters, appliances which are intelligent, different sensors chosen based on their requirements, actuators with proper and efficient infrastructure. Security measures like collection, storage, manipulations and a massive amount of data retention are required as the system is highly diverse in its architecture and even the heterogeneous IOT devices are interacting with each other. In this article, security challenges and concerns of IOT big data associated with smart grid are discussed along with the new security enhancements for identification and authentications of things in IOT big data environments.

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 Using smart meters for checking the topology and power flow calculation of a secondary distribution network

2019 ◽  
Vol 139 ◽  
pp. 01059
Author(s):  
Irina Golub ◽  
Evgeny Boloev ◽  
Yana Kuzkina
Keyword(s):  
Power Flow ◽  
Reactive Power ◽  
Distribution Network ◽  
Smart Meters ◽  
Power Flow Calculation ◽  
Flow Calculation ◽  
Three Phase ◽  
Secondary Distribution ◽  
Linear State ◽  
Selection Of

The paper analyzes options of using smart meters for power flow calculation and for assessing the state of a real three-phase four-wire secondary distribution network based on measurements of average values of active and reactive power and of voltages. The work is based on the authors’ research on allocation of measurements to ensure secondary distribution network observability and on selection of the most efficient method for linear and non-linear state estimation. The paper illustrates solution of a problem on identification composition of load nodes in the phases and reveals challenges related to voltage account in the neutral wire and in its grounding.

scholarly journals Analysis of Cyber Attacks Vulnerabilities In Electrical Power Systems

2019 ◽  
Vol 8 (9) ◽  
pp. 925-928
Keyword(s):  
Power Systems ◽  
Smart Grids ◽  
Electrical Power ◽  
Cyber Attacks ◽  
Power Grids ◽  
Electrical Power System ◽  
Smart Meters ◽  
Electrical Power Systems ◽  
Different Types ◽  
Intelligent Electronic Devices

The term “Smart grid” is used for the modernized electrical power system grids. Power grids as we know it is a collection of generation units and load centers that are connected through power lines. Smart grids are a newer version of power grids which basically is the digitalization of the infrastructure with the involvement of smart meters, sensors and different types of IED’s (Intelligent Electronic Devices). As the grids become smart they become vulnerable to attacks over the internet i.e., cyber attacks

scholarly journals Smart Meters Big Data: Game Theoretic Model for Fair Data Sharing in Deregulated Smart Grids

IEEE Access ◽  
2015 ◽  
Vol 3 ◽  
pp. 2743-2754 ◽  
Author(s):  
Abdulsalam Yassine ◽  
Ali Asghar Nazari Shirehjini ◽  
Shervin Shirmohammadi
Keyword(s):  
Big Data ◽  
Data Sharing ◽  
Smart Grids ◽  
Theoretic Model ◽  
Smart Meters ◽  
Game Theoretic ◽  
Game Theoretic Model

scholarly journals Modeling and clustering water demand patterns from real-world smart meter data

2017 ◽  
Vol 10 (2) ◽  
pp. 75-82 ◽  
Author(s):  
Nicolas Cheifetz ◽  
Zineb Noumir ◽  
Allou Samé ◽  
Anne-Claire Sandraz ◽  
Cédric Féliers ◽  
...  
Keyword(s):  
Time Series ◽  
Water Consumption ◽  
Water Demand ◽  
Smart Grids ◽  
Water Distribution ◽  
Smart Cities ◽  
Distribution Network ◽  
Seasonal Patterns ◽  
Smart Meters ◽  
Time Step

Abstract. Nowadays, drinking water utilities need an acute comprehension of the water demand on their distribution network, in order to efficiently operate the optimization of resources, manage billing and propose new customer services. With the emergence of smart grids, based on automated meter reading (AMR), a better understanding of the consumption modes is now accessible for smart cities with more granularities. In this context, this paper evaluates a novel methodology for identifying relevant usage profiles from the water consumption data produced by smart meters. The methodology is fully data-driven using the consumption time series which are seen as functions or curves observed with an hourly time step. First, a Fourier-based additive time series decomposition model is introduced to extract seasonal patterns from time series. These patterns are intended to represent the customer habits in terms of water consumption. Two functional clustering approaches are then used to classify the extracted seasonal patterns: the functional version of K-means, and the Fourier REgression Mixture (FReMix) model. The K-means approach produces a hard segmentation and K representative prototypes. On the other hand, the FReMix is a generative model and also produces K profiles as well as a soft segmentation based on the posterior probabilities. The proposed approach is applied to a smart grid deployed on the largest water distribution network (WDN) in France. The two clustering strategies are evaluated and compared. Finally, a realistic interpretation of the consumption habits is given for each cluster. The extensive experiments and the qualitative interpretation of the resulting clusters allow one to highlight the effectiveness of the proposed methodology.

Survey of Big Data Role in Smart Grids: Definitions, Applications, Challenges, and Solutions

2018 ◽  
Vol 12 (1) ◽  
pp. 86-97 ◽  
Author(s):  
Mahmoud Ghofrani ◽  
Andrew Steeble ◽  
Christopher Barrett ◽  
Iman Daneshnia
Keyword(s):  
Big Data ◽  
Smart Grid ◽  
Smart Grids ◽  
Power Grids ◽  
Time Data ◽  
Smart Meters ◽  
Communication Devices ◽  
Big Data Technologies ◽  
Big Data Application ◽  
Real Time Data Processing

Objective:This paper provides a literature review on smart grids and big data. Smart grid refers to technologies used to modernize the energy delivery of traditional power grids, using intelligent devices and big data technologies.Methods:The modernization is performed by deploying equipment such as sensors, smart meters, and communication devices, and by invoking procedures such as real-time data processing and big data analysis. A large volume of data with high velocity and diverse variety are generated in a smart grid environment.Conclusion:This paper presents definitions and background of smart grid and big data. Current studies and research developments of big data application in smart grids are also introduced. Additionally, big data challenges in smart grid systems such as security and data quality are discussed.

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