Scalable Cloud-Based Data Storage Platform for Smart Grid

2017 ◽  
pp. 259-265
Author(s):  
Hnin Yu Shwe ◽  
Soong Boon Hee ◽  
Peter Han Joo Chong
Keyword(s):  
Smart Grid ◽  
Data Storage

Research on the Smart Grid Dispatching System Based on Cloud Computing

2013 ◽  
Vol 385-386 ◽  
pp. 1730-1733
Author(s):  
Lian Li ◽  
Zhi Xin Huang
Keyword(s):  
Smart Grid ◽  
Data Storage ◽  
Support System ◽  
Technical Support ◽  
Massive Data ◽  
Stability Assessment ◽  
Key Points ◽  
Power Operation ◽  
Cloud Computation ◽  
And Control

Dispatching being the core of the power operation and control, intelligent dispatching is the key point of the construction of unified and strong smart grid. During the construction of smart grid dispatching technical support system, many key points and difficulties must be addressed including massive data storage and processing, huge computational applications of security and stability assessment, unified management and flexible expansion of the system, flexible deployment and dispatching operations, integration of calculation and analysis capabilities. Based on the relevant characteristics of cloud computation, there latest technologies using cloud computation and the optimization of platform in constructing smart grid dispatching technical support system were discussed.

Data storage method supporting large-scale smart grid

2013 ◽  
Vol 32 (9) ◽  
pp. 2496-2499 ◽  
Author(s):  
Bao-yan SONG ◽  
Hong-mei ZHANG ◽  
Yan WANG ◽  
Qiong LI
Keyword(s):  
Smart Grid ◽  
Data Storage ◽  
Large Scale ◽  
Storage Method

Decentralized Energy Management System Enhancement for Smart Grid

2021 ◽  
pp. 156-169
Author(s):  
Hadjira Belaidi ◽  
Zakaria Rabiai
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Data Storage ◽  
Management System ◽  
Electrical Power ◽  
Power Grids ◽  
Energy Management System ◽  
Energy Management Systems ◽  
Multi Agent ◽  
Decentralized Energy

In these last decades, electrical power grids become more intelligent. Hence, sophisticated software and hardware were introduced to the power grid, which makes it a smart grid. This chapter is an introduction on smart-grid technology; thus, microgrids are explained, and the use of multiagent system in centralized/decentralized energy management systems are discussed and compared. Smart agents are an emerging technology for decentralized computation and data storage. Hence, in this chapter, decentralized energy management system is created basing on multi-agent system technique where sources and loads are considered as separated agents each of them. After that, these sources and load create a microgrid and each microgrid can be considered as an agent. The work proposes an approach for load supplying optimization to decrease the microgrid cost and enhance its efficiency.

Decentralized Energy Management System Enhancement for Smart Grid

2022 ◽  
pp. 77-90
Author(s):  
Hadjira Belaidi ◽  
Zakaria Rabiai
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Data Storage ◽  
Management System ◽  
Electrical Power ◽  
Power Grids ◽  
Energy Management System ◽  
Energy Management Systems ◽  
Multi Agent ◽  
Decentralized Energy

In these last decades, electrical power grids become more intelligent. Hence, sophisticated software and hardware were introduced to the power grid, which makes it a smart grid. This chapter is an introduction on smart-grid technology; thus, microgrids are explained, and the use of multiagent system in centralized/decentralized energy management systems are discussed and compared. Smart agents are an emerging technology for decentralized computation and data storage. Hence, in this chapter, decentralized energy management system is created basing on multi-agent system technique where sources and loads are considered as separated agents each of them. After that, these sources and load create a microgrid and each microgrid can be considered as an agent. The work proposes an approach for load supplying optimization to decrease the microgrid cost and enhance its efficiency.

scholarly journals A Comparative Study of Data Storage and Processing Architectures for the Smart Grid

2010 ◽  
Author(s):  
Maria Arenas-Martinez ◽  
Sergio Herrero-Lopez ◽  
Abel Sanchez ◽  
John R. Williams ◽  
Paul Roth ◽  
...  
Keyword(s):  
Smart Grid ◽  
Comparative Study ◽  
Data Storage ◽  
Processing Architectures

scholarly journals Reliability Monitoring Based on Higher-Order Statistics: A Scalable Proposal for the Smart Grid

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 55 ◽  
Author(s):  
Olivia Florencias-Oliveros ◽  
Juan-José González-de-la-Rosa ◽  
Agustín Agüera-Pérez ◽  
José-Carlos Palomares-Salas
Keyword(s):  
Smart Grid ◽  
Order Statistics ◽  
Power Quality ◽  
Data Storage ◽  
Real Life ◽  
Higher Order ◽  
Point Of View ◽  
Higher Order Statistics ◽  
Grid Data ◽  
The Time Domain

The increasing development of the smart grid demands reliable monitoring of the power quality at different levels, introducing more and more measurement points. In this framework, the advanced metering infrastructure must deal with this large amount of data, storage capabilities, improving visualization, and introducing customer-oriented interfaces. This work proposes a method that optimizes the smart grid data, monitoring the real voltage supplied based on higher order statistics. The method proposes monitoring the network from a scalable point of view and offers a two-fold perspective based on the duality utility-prosumer as a function of the measurement time. A global PQ index and 2D graphs are introduced in order to compress the time domain information and quantify the deviations of the waveform shape by means of three parameters. Time-scalability allows two extra features: long-term supply reliability and power quality in the short term. As a case study, the work illustrates a real-life monitoring in a building connection point, offering 2D diagrams, which show time and space compression capabilities, as well.

The Research on Information Architecture and Security Protection of Smart Grid

2013 ◽  
Vol 421 ◽  
pp. 541-545 ◽  
Author(s):  
Lu Chen ◽  
Xing Liu ◽  
Tao Zhang ◽  
Yu Fei Wang
Keyword(s):  
Smart Grid ◽  
Data Storage ◽  
Communication Technology ◽  
Reference Model ◽  
Information Architecture ◽  
Application Layer ◽  
Data Application ◽  
Information And Communication ◽  
Key Issues ◽  
Smart Gird

Information and communication technology is one of the key issues of smart grid and the basis of its realization. To standardization of smart grid information architecture, this paper analyzes smart grid conceptual reference model, propose smart grid hierarchical information architecture, including grid equipment layer, communication gird layer, data storage layer and data application layer. For this information architecture, this paper finally discusses smart gird protection system.

Research of Smart Meter Massive Data Storage Based on Cloud Computing Platform

2013 ◽  
Vol 341-342 ◽  
pp. 1434-1438
Author(s):  
Weng Ting Li ◽  
Yan Zheng ◽  
Shao Bo Liu ◽  
Zhao Zhi Long ◽  
Zhi Cheng Li
Keyword(s):  
Cloud Computing ◽  
Smart Grid ◽  
Data Storage ◽  
Massive Data ◽  
Smart Meter ◽  
Smart Meters ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Distributed Computing Platform ◽  
Grid Operation

With the comprehensive construction of the smart grid, the smart grid operation control and interactive service system will be initially formed. The smart terminal of smart grid are smart meters, and they produce a large number of various data all the time. That how to most effectively manage these massive data storage is an important research point for improving the intelligence service. This paper studies the smart meter massive data storage management based on cloud computing platform. The Hadoop distributed computing platform for smart meter massive data management is reliable, efficient, scalable storage.

scholarly journals Cloud-based Non-Intrusive Load Monitoring System (NILM)

2019 ◽  
Vol 8 (6S3) ◽  
pp. 125-131
Keyword(s):  
Cloud Computing ◽  
Smart Grid ◽  
Monitoring System ◽  
Data Storage ◽  
Smart Cities ◽  
Open Data ◽  
Cost Effective ◽  
Performance Comparison ◽  
Machine Learning Algorithms ◽  
Load Monitoring

Design and development of a cloud-based non-intrusive load monitoring System (NILM) is presented. It serves for monitoring and disaggregating the aggregated data such as smart metering into appliance-level load information by using cloud computing and machine learning algorithms implemented in cloud. The existing NILM systems are lack of scalability and limited in computing resources (computation and data storage) due to dedicated, closed and proprietary-based characteristics. They are inaccessible to variety of heterogeneity data (electrical and non-electrical data) openly for improving NILM performance. Therefore, this paper proposed a novel cloud-based NILM system to enable collection of these open data for load monitoring and other energy-related services. The collected data such as smart meter or data acquisition unit (DAQ), is pre-processed and uploaded to the cloud platform. A classifier algorithm based on Artificial Neural Network (ANN) is implemented in Azure ML Studio (AzureML), followed by the classifier testing with different combinations of feature set for the performance comparison. Furthermore, a web service is deployed for web APIs (Application Programming Interfaces) of applications such as smart grid and smart cities. The results shows that the ANN classifier for multiclass classification has improved performance with additional features of harmonics, apart from active and reactive powers used. It also demonstrates the feasibility of proposed cloud-based classifier model for load monitoring. Therefore, the proposed solution offers a convenient and cost-effective way of load monitoring via cloud computing technology for smart grid and smart home applications. Further work includes the use of other ML algorithms for classifier, performance analysis, development of cloud-based universal appliance data and use cases

Study on the Cloud Computing Architecture for Smart Grid Application

2013 ◽  
Vol 805-806 ◽  
pp. 1073-1077
Author(s):  
Bang Kui Fan ◽  
Guan Jun Ding ◽  
Teng Long ◽  
Hai Bin Lan ◽  
Jing Wang
Keyword(s):  
Cloud Computing ◽  
Smart Grid ◽  
Data Storage ◽  
Future Research ◽  
Information Process ◽  
Computing Architecture ◽  
Information Platform ◽  
Grid Construction ◽  
Grid Application ◽  
Physical Layer Information

In view of the increasing demands of data storage, information process, interoperability and so on in smart grid construction, this paper presents the cloud computing architecture for smart grid application, based on introducing of the cloud computing technology which has strong capability of distributed computing and storage. And the aim of the paper is to overcome the drawbacks of traditional power grid information platform in computation, storage, information process, etc., and promote the smart grid development. First of all, the essential connotation and performance demands of smart grid are described. Second, the development process and main properties of cloud computing are summarized in the paper. Then, the feasibility of constructing cloud computing architecture for smart grid application is analyzed and discussed. Based on that, the structure composition of the architecture is proposed, and the main functions of each part are discussed in detail. It shows that the architecture can effectively implement amalgamation and interoperability among physical layer, information process and application system, as well as the power energy, information stream and business flow in smart grid are highly integrated, which can offer support for smart grid construction. Finally, the related conclusions are drawn, and some future research directions are given.

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