Optimal automation level for reliability improvement and self-healing MV distribution networks

2016 ◽  
Author(s):  
M. R. Elkadeem ◽  
M. A. Alaam ◽  
Ahmed M. Azmy
Keyword(s):  
Distribution Networks ◽  
Self Healing ◽  
Reliability Improvement ◽  
Automation Level

scholarly journals Configurations of Aromatic Networks for Power Distribution System

2020 ◽  
Vol 12 (10) ◽  
pp. 4317
Author(s):  
K. Prakash ◽  
F. R. Islam ◽  
K. A. Mamun ◽  
H. R. Pota
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Smart Grids ◽  
Sustainable Energy ◽  
Distribution Network ◽  
Geographical Location ◽  
Distribution Networks ◽  
Self Healing ◽  
Power Distribution System ◽  
Improve Energy Efficiency

A distribution network is one of the main parts of a power system that distributes power to customers. While there are various types of power distribution networks, a recently introduced novel structure of an aromatic network could begin a new era in the distribution levels of power systems and designs of microgrids or smart grids. In order to minimize blackout periods during natural disasters and provide sustainable energy, improve energy efficiency and maintain stability of a distribution network, it is essential to configure/reconfigure the network topology based on its geographical location and power demand, and also important to realize its self-healing function. In this paper, a strategy for reconfiguring aromatic networks based on structures of natural aromatic molecules is explained. Various network structures are designed, and simulations have been conducted to justify the performance of each configuration. It is found that an aromatic network does not need to be fixed in a specific configuration (i.e., a DDT structure), which provides flexibility in designing networks and demonstrates that the successful use of such structures will be a perfect solution for both distribution networks and microgrid systems in providing sustainable energy to the end users.

Self-healing Control Technology for Distribution Networks

2017 ◽  
Author(s):  
Xinxin Gu ◽  
Ning Jiang ◽  
Kan Ji ◽  
Huiyu Li ◽  
Xinhong Qiu ◽  
...  
Keyword(s):  
Distribution Networks ◽  
Control Technology ◽  
Self Healing
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