Evolution from Power Grid to Smart Grid: Design challenges

2015 ◽  
Author(s):  
Gheorghe Florea ◽  
Oana Chenaru ◽  
Radu Dobrescu ◽  
Dan Popescu
Keyword(s):  
Smart Grid ◽  
Power Grid ◽  
Grid Design ◽  
Design Challenges

Related Research

2018 ◽  
pp. 1-21
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Power Line ◽  
Power Line Communication ◽  
Grid Design ◽  
Smart House ◽  
Advanced Metering ◽  
New Research ◽  
Smart Grid Communication ◽  
Design Challenges

This chapter presents related and current research on Smart Grids, Test Beds, AMI (Advanced Metering Infrastructure), PLC (Power Line Communication), and other emerging fields within OPNET and Power Line Communication. The author emerges in new research trends to provide adequate information on Smart House, Smart Grid communication, Smart Grid design challenges, and PLC and the Smart Grid. This chapter will pave the way for the information in upcoming chapters.

Application of Data Mining in Smart Grid Technology

2021 ◽  
pp. 815-827
Author(s):  
Lipi Chhaya ◽  
Paawan Sharma ◽  
Adesh Kumar ◽  
Govind Bhagwatikar
Keyword(s):  
Data Mining ◽  
Smart Grid ◽  
Power Grid ◽  
Analysis Data ◽  
Consumer Participation ◽  
Distribution Automation ◽  
Grid Technology ◽  
Self Healing ◽  
Grid Operation ◽  
Smart Grid Technology

Smart grid technology is a radical approach for improvisation in existing power grid. Some of the significant features of smart grid technology are bidirectional communication, AMI, SCADA, renewable integration, active consumer participation, distribution automation, and complete management of entire grid through wireless communication standards and technologies. Management of complex, hierarchical, and heterogeneous smart grid infrastructure requires data collection, storage, processing, analysis, retrieval, and communication for self-healing and complete automation. Data mining techniques can be an effective solution for smart grid operation and management. Data mining is a computational process for data analysis. Data scrutiny is unavoidable for unambiguous knowledge discovery as well as decision making practices. Data mining is inevitable for analysis of various statistics associated with power generation, distribution automation, data communications, billing, consumer participation, and fault diagnosis in smart power grid.

DSM for Energy Optimization and Communications Within Smart Grid CPSs

2022 ◽  
pp. 506-528
Author(s):  
Sa'ed Abed ◽  
Areej Abdelaal ◽  
Amjad Gawanmeh
Keyword(s):  
Developing Countries ◽  
Smart Grid ◽  
Energy Demand ◽  
New Technologies ◽  
Power Grid ◽  
Energy Optimization ◽  
Cyber Physical Systems ◽  
Optimization Techniques ◽  
Grid System ◽  
Potential Solution

Energy demand has increased significantly in the recent years due to the emerging of new technologies and industries, in particular in the developing countries. This increase requires much more developed power grid system than the existing traditional ones. Smart grid (SG) offers a potential solution to this problem. Being one of the most needed and complex cyber-physical systems (CPS), SG has been addressed exhaustively by researchers, from different views and aspects. However, energy optimization yet needs much more studying and examination. Therefore, this chapter presents a comprehensive investigation and analysis of the state-of-the-art developments in SG as a CPS with emphasis on energy optimization techniques and challenges. It also surveys the main challenges facing the SG considering CPS factors and the remarkable accomplishments and techniques in addressing these challenges. In addition, the document contrasts between different techniques according to their efficiency, usage, and feasibility. Moreover, this work explores the most effective applications of the SG as a CPS.

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