Big data, better energy management and control decisions for distribution systems in smart grid

2016 ◽  
Author(s):  
Shady S. Refaat ◽  
Haitham Abu-Rub ◽  
Amira Mohamed
Keyword(s):  
Big Data ◽  
Smart Grid ◽  
Energy Management ◽  
Distribution Systems ◽  
And Control

scholarly journals A Review on Big Data Management and Decision-Making in Smart Grid

2019 ◽  
Vol 4 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Amira Mohamed ◽  
Shady S. Refaat ◽  
Haitham Abu-Rub
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Smart Grid ◽  
Energy Security ◽  
Energy Use ◽  
Essential Element ◽  
Existing Problems ◽  
Data Process ◽  
Equipment Failures ◽  
And Control

AbstractSmart grid (SG) is the solution to solve existing problems of energy security from generation to utilization. Examples of such problems are disruptions in the electric grid and disturbances in the transmission. SG is a premium source of Big Data. The data should be processed to reveal hidden patterns and secret correlations to extrapolate the needed values. Such useful information obtained by the so-called data analytics is an essential element for energy management and control decision towards improving energy security, efficiency, and decreasing costs of energy use. For that reason, different techniques have been developed to process Big Data. This paper presents an overview of these techniques and discusses their advantages and challenges. The contribution of this paper is building a recommender system using different techniques to overcome the most obstacles encountering the Big Data processes in SG. The proposed system achieves the goals of the future SG by (i) analyzing data and executing values as accurately as possible, (ii) helping in decision-making to improve the efficiency of the grid, (iii) reducing cost and time, (iv) managing operating parameters, (v) allowing predicting and preventing equipment failures, and (vi) increasing customer satisfaction. Big Data process enables benefits that were never achieved for the SG application.

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. 

Smart Grid Big Data: Automating Analysis of Distribution Systems

2016 ◽  
Author(s):  
Jeremy Lang ◽  
Steve Pascoe ◽  
Jeff Thompson ◽  
Jeremy Woyak ◽  
Kaveh Rahimi ◽  
...  
Keyword(s):  
Big Data ◽  
Smart Grid ◽  
Distribution Systems

scholarly journals Artificial Intelligence Technique and Wireless Sensor Networks in Energy Management System for Secure Power Optimization

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Ayuba John ◽  
Abdulazeez Yusuf ◽  
Abdulhamid Ardo
Keyword(s):  
Artificial Intelligence ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Smart Grid ◽  
Power System ◽  
Energy Management ◽  
Management System ◽  
Power Optimization ◽  
Wireless Sensor ◽  
And Control

The acquisition of data, the processing of those data for use by the operator, and control of remote devices are the fundamental building blocks of all modern utility control systems. Manual calculations, technical analysis and conclusions were initially adopted in power system design, operation and control. As the power system grow it become more complex due to the technical advancements, variety and dynamic requirements. Artificial intelligence is the science of automating intelligent behaviours currently achievable by humans. Intelligent system techniques may be of great help in the implementation of area power system controls. While smart grid can be considered as a modern electric power grid infrastructure for enhanced efficiency and reliability through automated control, high power converters, modern communications infrastructure, sensing and metering technologies, and modern energy management techniques based on the optimization of demand, energy and network availability, and so on. The big picture of the whole transmission grid, in the context of smart grids, is still unclear; and in Nigeria no studies have been put on ground in order for the existing network to be turn into a smart grid. In this research work emphasis is place on generation and transmission stations; power optimization using artificial intelligent techniques and wireless sensor networks for power control management system.

scholarly journals Unified Energy Agents for Combined District Heating and Electrical Network Simulation

2020 ◽  
Vol 12 (21) ◽  
pp. 9301
Author(s):  
Nils Loose ◽  
Christian Thommessen ◽  
Jan Mehlich ◽  
Christian Derksen ◽  
Stefan Eicker
Keyword(s):  
Smart Grid ◽  
Distribution Systems ◽  
District Heating ◽  
Electrical Network ◽  
Agent Based ◽  
Simulation And Optimization ◽  
Energy Networks ◽  
Energy Conversion Systems ◽  
And Control ◽  
Future Work

A sustainable and climate-friendly energy supply needs flexible and efficient distribution systems. Key factors to implement this kind of systems are intelligent coordination (smart grid approaches) and the integration of different energy sectors. This article introduces the unified energy agent as an agent-based approach for a comprehensive modelling and control of energy conversion systems. This approach enables both the simulation and optimization of coupled energy networks, and then in a next step, the development of corresponding smart grid solutions to be applied in the field. Its applicability for the simulation of coupled networks is presented by a real-world use-case of an innovative combined heat and electrical network, which was implemented for the city of Lemgo, Germany. Preliminary results from the project are discussed and an outlook on future work is given.

scholarly journals Elaborating Sustainable Port services for Greener Shipping

2019 ◽  
Author(s):  
J Prousalidis ◽  
V Georgiou ◽  
D Spathis ◽  
D Lyridis ◽  
F Kanellos ◽  
...  
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Management System ◽  
Energy Management System ◽  
Monitoring And Control ◽  
New Development ◽  
Proper Design ◽  
And Control ◽  
Smart Ports

The paper deals with the new development perspectives of modern smart ports in an attempt to offer premium services to ships, passengers, commercial business, the environment even the society fully exploiting the smart grid concept. Besides highlighting the courses of actions towards such reformation, it is discussed that of major importance is the proper design of a centralized energy management system providing supervisory monitoring and control of all energy transactions among providers and consumers as well as their optimized co-operation.

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