A Survey of Communication Technology in Distribution Network

2012 ◽  
Vol 516-517 ◽  
pp. 1302-1311
Author(s):  
Hui Chen ◽  
Nan Hua Yu ◽  
Chuan Jian Li ◽  
Wen Jie Zheng

With the development of the smart grid technology, power distribution network puts forward a higher request for transmission bandwidth and reliability. First, we analyze the characteristics and the business needs of the distribution network. Then we analyze the distribution network communication technologies, both wired and wireless. Based on our analysis, we should combine various communication technologies according to the comprehensive economic and technical indexes in power distribution automation communication system.

2013 ◽  
Vol 340 ◽  
pp. 1003-1006
Author(s):  
Pin Wang

Computer communication technology makes its own produce change at the same time, also contributed to the development of other industries, Produced great economic benefits. Nowadays, computer communication technology more and more applied to the improvement of the reform of the state grid, brought a technical innovation, make the distribution system security, reliability and efficiency becomes increasingly salient, for the realization of the power distribution automation system provides a reliable technical guarantee. This paper briefly discusses the distribution network and computer communication technology principle, mainly discusses the key technology of computer communication in distribution network application forms and application advantages, convenient peer reference.


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.


2014 ◽  
Vol 986-987 ◽  
pp. 2091-2094
Author(s):  
Bao Feng ◽  
Yi Lei Lin ◽  
Yang Li ◽  
Chang Qing Zhong ◽  
Kai Liang

With the development of smart grid technology, more and more intelligent devices and applications are accessed into the electric power system, which put forward higher requirements on network communication and monitoring. Power distribution and electricity utilization network directly facing the ultimate power users, is the embodiment of the smart grid in customer aspect. Flexible, efficient and reliable communication network will greatly improve the user experience. The network is commonly referred to as power communication access network. In order to improve the performance of service bearing network, a novel service driven modeling method for requirement analysis is proposed. Furthermore, the paper offers some recommendations for network design.


Author(s):  
Satya PRAKASH ◽  
Manoj HANS ◽  
Vikas THORAT

The power distribution network has grown complex and vulnerable as it increases its demand. The system's reliability has become a prominent factor for the end-users, although the continuity of supply in the distribution network still remains a challenge. In order to achieve the same distribution, automation came into the picture. The term “Distribution Automation” usually refers to an advanced switching system, which works as a subsystem of the existing network. The purpose of the subsystem is to offer real-time observation and control in distribution networks and electricity market operations. Consequently, the development of an autonomous system for isolating failures and restoring power for the distribution of LV (low voltage)/MV (medium voltage) can be an attractive solution for improving energy facilities' reliability. Advanced management techniques are devices and algorithms used to analyze, diagnose, and predict conditions in a distribution network, as well as to identify and take appropriate corrective actions to eliminate, mitigate, and prevent power outages and power quality problems. To demonstrate the model, we used a PIC16F877, CT microcontroller, and a power supply unit.


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.


Sign in / Sign up

Export Citation Format

Share Document