Switch Optimization for Smart Grid Distribution Automation

Author(s):  
S. Chouhan ◽  
A. Feliachi
2013 ◽  
Vol 291-294 ◽  
pp. 2047-2056
Author(s):  
Di Si Zhang ◽  
Guang Xian Lv ◽  
Peng Liu ◽  
Xue Yuan Su ◽  
Hai Tao Liu

To promote the ease of use and reliability of IEC 61968 based Information Exchange Bus and fulfill the rapid establishment of inter-buses and adapters-bus communication channels, this article first analyzes the status quo of distribution automation integrity. Combined with the concept of universal PnP technology, the functions of IEC 61968 based adapters as well as buses are improved and more adapted. Considering characteristics of IEC 61968 standards, components like adapter identification information, topic-authorization table, and topic-authorization routing table are introduced and then a set of special mechanisms are built, including binding&unbinding procedures for inter-buses and adapters-buses, retransmission scheme, and mergence of topic authorization routing tables used to control information flow. By implementing this theory, the adapters-buses and inter-buses PnP functions are realized and the ease of use and reliability of smart grid information exchange buses are enhanced.


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.


2018 ◽  
Vol 7 (2.21) ◽  
pp. 185
Author(s):  
B Rubini ◽  
N Shanmugasundaram ◽  
S Pradeepkumar

Currently, different advanced technologies are implemented in power networks, with aim to improve power quality and reliability of grid operation. Naturally, Distribution Automation and Management Systems (DAMS), Smart power equipment, Advanced Metering Structure, Distributed Energy Resources and/or systems Demand Response are implemented in electricity distribution networks. Smart Grid Solutions coordinate different advanced technologies in an efficient energy management system. Outline Smart Grid Solutions, with investments of estimation, possible benefits and operation costs, is presented in this article, with estimation of cost-effectiveness in a lifetime of particular systems. 


2016 ◽  
Vol 30 (5) ◽  
pp. 2939-2951 ◽  
Author(s):  
Mohammad Hadi Andishgar ◽  
Alireza Fereidunian ◽  
Hamid Lesani

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.


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