scholarly journals A Review of Smart Grids and Their Future Challenges

2018 ◽  
Vol 173 ◽  
pp. 02025
Author(s):  
Wen Tian
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Large Scale ◽  
Power Transmission ◽  
Research Direction ◽  
Comprehensive Utilization ◽  
Low Resource ◽  
Future Challenges ◽  
Important Position ◽  
Efficient Transmission

With the development of science and technology and the increasing emphasis on renewableenergy, smart grids are being vigorously developed in many countries and regions including Europe, theUnited States and China. The smart grid is the main practice trend of efficient transmission of modernpower resources. It has the advantages of good power transmission, low resource loss and strong correlationof resources transmission. Therefore, it occupies an important position in large-scale utilization of powerresources. Thus, this paper, based on the theory of smart grid, discusses the research direction, practicalinnovation and application of smart grid, provides theoretical reference for the comprehensive utilization ofpower resources in China, and promotes the intelligent exploration of domestic electric resource application.

scholarly journals Future Generation 5G Wireless Networks for Smart Grid: A Comprehensive Review

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2140 ◽  
Author(s):  
Sofana Reka. S ◽  
Tomislav Dragičević ◽  
Pierluigi Siano ◽  
S.R. Sahaya Prabaharan
Keyword(s):  
Smart Grid ◽  
Electricity Markets ◽  
Smart Grids ◽  
Large Scale ◽  
Business Models ◽  
Future Generation ◽  
Current Status ◽  
Complete Analysis ◽  
5G Networks ◽  
5G Network

Wireless cellular networks are emerging to take a strong stand in attempts to achieve pervasive large scale obtainment, communication, and processing with the evolution of the fifth generation (5G) network. Both the present day cellular technologies and the evolving new age 5G are considered to be advantageous for the smart grid. The 5G networks exhibit relevant services for critical and timely applications for greater aspects in the smart grid. In the present day electricity markets, 5G provides new business models to the energy providers and improves the way the utility communicates with the grid systems. In this work, a complete analysis and a review of the 5G network and its vision regarding the smart grid is exhibited. The work discusses the present day wireless technologies, and the architectural changes for the past years are shown. Furthermore, to understand the user-based analyses in a smart grid, a detailed analysis of 5G architecture with the grid perspectives is exhibited. The current status of 5G networks in a smart grid with a different analysis for energy efficiency is vividly explained in this work. Furthermore, focus is emphasized on future reliable smart grid communication with future roadmaps and challenges to be faced. The complete work gives an in-depth understanding of 5G networks as they pertain to future smart grids as a comprehensive analysis.

Reliability Management of the Power System in China: Present Status and Future Challenges

2014 ◽  
Vol 521 ◽  
pp. 480-484
Author(s):  
Guo Zhong Liu
Keyword(s):  
Power System ◽  
Electricity Market ◽  
System Reliability ◽  
Present Status ◽  
Large Scale ◽  
Power Transmission ◽  
Reliability Management ◽  
Future Challenges ◽  
Stochastic Characteristics ◽  
Electricity Reliability

With the developments of West-East power transmission projects, South-North power supply and the increased grid interconnections, in addition to the electricity market developments, the uncertain and stochastic characteristics of the power system operation are becoming more and more challenging and the risk of large scale blackout of the power system is increased remarkably. The electricity reliability management organization in China has been introduced. In this paper, present status of the power system reliability operation in China has been summarized and the new problems and challenges for the reliability management have been analyzed and discussed.

scholarly journals Evaluation of big data frameworks for analysis of smart grids

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Mohammad Hasan Ansari ◽  
Vahid Tabatab Vakili ◽  
Behnam Bahrak
Keyword(s):  
Big Data ◽  
Smart Grid ◽  
Cyber Security ◽  
Smart Grids ◽  
Large Scale ◽  
Rapid Development ◽  
Massive Data ◽  
Grid Data ◽  
Data Generator ◽  
And Performance

AbstractWith the rapid development of smart grids and increasing data collected in these networks, analyzing this massive data for applications such as marketing, cyber-security, and performance analysis, has gained popularity. This paper focuses on analysis and performance evaluation of big data frameworks that are proposed for handling smart grid data. Since obtaining large amounts of smart grid data is difficult due to privacy concerns, we propose and implement a large scale smart grid data generator to produce massive data under conditions similar to those in real smart grids. We use four open source big data frameworks namely Hadoop-Hbase, Cassandra, Elasticsearch, and MongoDB, in our implementation. Finally, we evaluate the performance of different frameworks on smart grid big data and present a performance benchmark that includes common data analysis techniques on smart grid data.

Future Directions to the Application of Distributed Fog Computing in Smart Grid Systems

2018 ◽  
pp. 162-195 ◽  
Author(s):  
Arash Anzalchi ◽  
Aditya Sundararajan ◽  
Longfei Wei ◽  
Amir Moghadasi ◽  
Arif Sarwat
Keyword(s):  
Smart Grid ◽  
Large Scale ◽  
New Technologies ◽  
Fog Computing ◽  
Data Communication ◽  
Grid Systems ◽  
Challenges And Opportunities ◽  
Future Challenges ◽  
Large Scale Integration ◽  
Integration Of Renewables

The rapid growth of new technologies in power systems requires real-time monitoring and control of bidirectional data communication and electric power flow. Cloud computing has centralized architecture and is not scalable towards the emerging internet of things (IoT) landscape of the grid. Further, under large-scale integration of renewables, this framework could be bogged down by congestion, latency, and subsequently poor quality of service (QoS). This calls for a distributed architecture called fog computing, which imbibes both clouds as well as the end-devices to collect, process, and act upon the data locally at the edge for low latency applications prior to forwarding them to the cloud for more complex operations. Fog computing offers high performance and interoperability, better scalability and visibility, and greater availability in comparison to a grid relying only on the cloud. In this chapter, a prospective research roadmap, future challenges, and opportunities to apply fog computing on smart grid systems is presented.

Future Directions to the Application of Distributed Fog Computing in Smart Grid Systems

2019 ◽  
pp. 2186-2212 ◽  
Author(s):  
Arash Anzalchi ◽  
Aditya Sundararajan ◽  
Longfei Wei ◽  
Amir Moghadasi ◽  
Arif Sarwat
Keyword(s):  
Smart Grid ◽  
Large Scale ◽  
New Technologies ◽  
Fog Computing ◽  
Data Communication ◽  
Grid Systems ◽  
Challenges And Opportunities ◽  
Future Challenges ◽  
Large Scale Integration ◽  
Integration Of Renewables

The rapid growth of new technologies in power systems requires real-time monitoring and control of bidirectional data communication and electric power flow. Cloud computing has centralized architecture and is not scalable towards the emerging internet of things (IoT) landscape of the grid. Further, under large-scale integration of renewables, this framework could be bogged down by congestion, latency, and subsequently poor quality of service (QoS). This calls for a distributed architecture called fog computing, which imbibes both clouds as well as the end-devices to collect, process, and act upon the data locally at the edge for low latency applications prior to forwarding them to the cloud for more complex operations. Fog computing offers high performance and interoperability, better scalability and visibility, and greater availability in comparison to a grid relying only on the cloud. In this chapter, a prospective research roadmap, future challenges, and opportunities to apply fog computing on smart grid systems is presented.

scholarly journals FLEXGRID – A novel smart grid architecture that facilitates high-RES penetration through innovative flexibility markets towards efficient stakeholder interaction

2021 ◽  
Vol 1 ◽  
pp. 128
Author(s):  
Nikolaos Efthymiopoulos ◽  
Prodromos Makris ◽  
Georgios Tsaousoglou ◽  
Konstantinos Steriotis ◽  
Dimitrios J. Vergados ◽  
...  
Keyword(s):  
Smart Grid ◽  
Distribution System ◽  
Smart Grids ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Market Liquidity ◽  
Level Energy ◽  
Intelligent Network ◽  
Distributed Energy ◽  
Electricity System

The FLEXGRID project develops a digital platform designed to offer Digital Energy Services (DESs) that facilitate energy sector stakeholders (i.e. Distribution System Operators - DSOs, Transmission System Operators - TSOs, market operators, Renewable Energy Sources - RES producers, retailers, flexibility aggregators) towards: i) automating and optimizing the planning and operation/management of their systems/assets, and ii) interacting in a dynamic and efficient way with their environment (electricity system) and the rest of the stakeholders. In this way, FLEXGRID envisages secure, sustainable, competitive, and affordable smart grids. A key objective is the incentivization of large-scale bottom-up investments in Distributed Energy Resources (DERs) through innovative smart grid management. Towards this goal, FLEXGRID develops innovative data models and energy market architectures (with high liquidity and efficiency) that effectively manage smart grids through an advanced TSO-DSO interaction as well as interactions between Transmission Network and Distribution Network level energy markets. Consequently, and through intelligence that exploits the innovation of the proposed market architecture, FLEXGRID develops investment tools able to examine in depth the emerging energy ecosystem and allow in this way: i) the financial sustainability of DER investors, and ii) the market liquidity/efficiency through advanced exploitation of DERs and intelligent network upgrades.

Emerging trends in Smart Grid Technology and Policy: An Overview

2019 ◽  
Author(s):  
Deepika Bishnoi ◽  
Harsh Chaturvedi
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Power System ◽  
Smart Grids ◽  
Power Transmission ◽  
Linear Regression Analysis ◽  
Electricity Production ◽  
Special Focus ◽  
Grid Technology ◽  
Smart Grid Technology

Global warming, climate change due to rising CO2 emissions, changing load demands from incandescent lamp and induction motor loads to digital loads, emerging electric vehicles and charging stations as well as higher power transmission losses are the factors which are pushing the global power system to make a shift from ‘generation + transmission + distribution’ to ‘distributed renewable generation + storage + localized distribution’. That is why the area of Smart Grids and Microgrids is being scrutinized thoroughly by researchers all over the world and is evolving every day. This research is an attempt to study all the modifications being done in the traditional power grid, to make it more intelligent, resilient, robust, and smarter, with a special focus on India. Smart Grid is a combination of information technology and power transmission, making the power system of the nation smarter. This paper is an attempt to trace the Smart Grid technology from its inception, presenting a comprehensive review of the available communication architecture options, renewable integration policies, targets and protocols and gives the required knowledge to engineers to work for better future of the nation in developing smarter power systems. A prediction of the share of renewables in total electricity production in the year 2030 is also made using linear regression analysis.

scholarly journals A Novel Methodology for the Scalability Analysis of ICT Systems for Smart Grids Based on SGAM: The InteGrid Project Approach

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3818
Author(s):  
Sergio Potenciano Menci ◽  
Julien Le Baut ◽  
Javier Matanza Domingo ◽  
Gregorio López López ◽  
Rafael Cossent Arín ◽  
...  
Keyword(s):  
Smart Grid ◽  
Distribution System ◽  
Smart Grids ◽  
Large Scale ◽  
Small Scale ◽  
Traffic Light ◽  
Architecture Model ◽  
Indirect Transmission ◽  
Scalability Analysis ◽  
System Operator

Information and Communication Technology (ICT) infrastructures are at the heart of emerging Smart Grid scenarios with high penetration of Distributed Energy Resources (DER). The scalability of such ICT infrastructures is a key factor for the large scale deployment of the aforementioned Smart Grid solutions, which could not be ensured by small-scale pilot demonstrations. This paper presents a novel methodology that has been developed in the scope of the H2020 project InteGrid, which enables the scalability analysis of ICT infrastructures for Smart Grids. It is based on the Smart Grid Architecture Model (SGAM) framework, which enables a standardized and replicable approach. This approach consists of two consecutive steps: a qualitative analysis that aims at identifying potential bottlenecks in an ICT infrastructure; and a quantitative analysis of the identified critical links under stress conditions by means of simulations with the aim of evaluating their operational limits. In this work the proposed methodology is applied to a cluster of solutions demonstrated in the InteGrid Slovenian pilot. This pilot consists of a Large Customer Commercial Virtual Power Plant (VPP) that provides flexibility in medium voltage for tertiary reserve and a Traffic Light System (TLS) to validate such flexibility offers. This approach creates an indirect Transmission System Operator (TSO)—Distribution System Operator (DSO) coordination scheme.

scholarly journals Research on Information Security Threats and Defense Strategies of Smart Grid

2020 ◽  
Vol 185 ◽  
pp. 02003
Author(s):  
Jianxuan Zhang
Keyword(s):  
Information Security ◽  
Smart Grid ◽  
Smart Grids ◽  
Stable Operation ◽  
Security Threats ◽  
Human Beings ◽  
Defense Strategies ◽  
Physical Isolation ◽  
Signature Recognition ◽  
Important Position

In view of the increasingly important position of information security in the development of smart grids, this paper studies the threats and defense strategies of smart grids to information security, and provides guidance for how to solve the information security problems of smart grids. At the same time, the concept and threat of smart grid are described. On this basis, several defense strategies are proposed, including encryption, digital signature recognition, firewall, antivirus, intrusion detection, physical isolation and in- depth defense of information security. The analysis shows that the threat faced by human beings is information security. Information security should focus on the development and construction of smart grids. Several defense strategies are feasible and can provide effective support for the safe and stable operation of smart grids.

scholarly journals Configurable DDS as Uniform Middleware for Data Communication in Smart Grids

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1839
Author(s):  
Alaa Alaerjan ◽  
Dae-Kyoo Kim ◽  
Hua Ming ◽  
Hwimin Kim
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Large Scale ◽  
Resource Constraints ◽  
Unified Modeling Language ◽  
Data Communication ◽  
Quality Data ◽  
Object Constraint Language ◽  
Wide Range ◽  
Low Performance

Data Distribution Service (DDS) has emerged as a potential solution for data communication challenges in smart grids. DDS is designed to support quality communication for large scale real-time systems through a wide range of QoS policies. However, a smart grid involves various types of communication applications running on different computing environments. Some environments have limited computing resources such as small memory and low performance, which makes it difficult to accommodate DDS. In this paper, we present a feature-based approach for tailoring DDS to configure lightweight DDS by selecting only the necessary features for the application in consideration of the resource constraints of its running environment. This allows DDS to serve as a uniform communication middleware across the smart grid, which is critical for interoperability. We analyze DDS in terms of features and design them using Unified Modeling Language (UML) and Object Constraint Language (OCL) based on inheritance and overriding. We define a formal notion of feature composition to build DDS configurations. We implemented the approach in OpenDDS and demonstrate its application to different application environments. We also experimented the approach for the efficiency of configured DDS in terms of resource utilization. The results show that configured DDS is viable for efficient and quality data communication for applications that run on an environment with limited computing capability.

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