scholarly journals Self-Healing Besides Restoration Methods in Smart Grid Distribution Networks

The Smart grid refers to a next-generation power grid which is a two-way information flow where electricity and information switch over between the service and its customer’s. The power system becomes smart by applying intelligence by way of multidirectional flow of electricity and information to create an extensive distribution network through smart grid technology. It made smarter power system by developing a networking communication, controls, automation, new technologies and tools working together to make the great efficient and more secure environment. For an effective integration and quality of the service to the consumer's smart grid technology is needed due to working with the electrical distribution system and quickly to respond digitally for rapidly changing electric demand. At this point, an electricity disruption such as a blackout can affect a series of failures that can affect several areas such as banking, traffic, and security. To address the power restoration, smart grid makes use of self-healing strategy which will allow automatic switching when equipment failure or outages occur. There have been numerous studies in the last decade or so in to even out the fundamental and mathematical challenges of making a smart self-healing grid a reality. In this paper, we explore the Selfhealing approach for Smart grid Communications likewise discusses the service restoration methods in Distribution Networks of Smart Grid Environment

Author(s):  
Lipi Chhaya ◽  
Paawan Sharma ◽  
Adesh Kumar ◽  
Govind Bhagwatikar

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.


Author(s):  
Murat Merekenov ◽  
Karmel Tokhtibakiyev ◽  
Anur Bektimirov ◽  
Rassim Nigmatullin

2022 ◽  
pp. 869-882
Author(s):  
Lipi Chhaya ◽  
Paawan Sharma ◽  
Adesh Kumar ◽  
Govind Bhagwatikar

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.


2021 ◽  
Vol 3 (8(111)) ◽  
pp. 14-24
Author(s):  
Eugene Chaikovskaya

An integrated Smart Grid system has been developed for matching the production and consumption of electric power based on a prediction of changes in the battery capacity. Advanced decisions on the change in power transmission capacity have made it possible to regulate voltage in the distribution system by maintaining the power factor of the photoelectric charging station. Voltages at the input to the hybrid inverter and in the distribution system were measured to assess their ratio. Comprehensive mathematical and logical modeling of the photoelectric charging station was performed based on the mathematical substantiation of architecture and operation maintenance. A dynamic subsystem including such components as mains, a photoelectric module, a hybrid inverter, batteries, a two-way counter Smart Meter and a charger formed the basis of the proposed technological system. Time constants and coefficients of mathematical models of dynamics in terms of estimation of changes in the battery capacity and power factor of the photoelectric charging station were determined. A functional estimate of changes in the battery capacity and power factor of the photoelectric charging station was obtained. Maintenance of voltage in the distribution system was realized based on resulting operation data to estimate a change in the battery capacity. Advanced decision-making has made it possible to raise the power factor of the photoelectric charging station up to 40 % due to matching the electric power production and consumption. Maintenance of operation of the photoelectric charging station using the developed Smart Grid technology has enabled prevention of peak loading of the power system due to a 20 % reduction of power consumption from the network.


2019 ◽  
Author(s):  
Deepika Bishnoi ◽  
Harsh Chaturvedi

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.


Sign in / Sign up

Export Citation Format

Share Document