Optimal scheduling of smart reconfigurable neighbour micro-grids

Optimal scheduling of smart reconfigurable neighbour micro-grids

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Generation, Transmission & Distribution — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Future smart distribution networks will include micro-grids (MGs) that are working in the neighbourhood. Owing to the penetration of renewable energy sources with probabilistic nature as well as deviation of load, MG may be faced with an overload or surplus power. The solution of this problem is to create and control a link between neighbour MGs for power exchange management. This study proposed a new framework for the optimal scheduling of smart reconfigurable neighbouring micro-grids (NMGs). Reconfiguration by managing the connection between MGs, through the opening and closing switches, finds the optimal structure of NMGs. Connectivity between NMGs is intended in two levels. In the first level, each MG can connect to adjacent MGs and exchange power, separately and without common area connection. In the second level, NMGs through a common area and opening or closing switches that couple them to the substrate can exchange power together. The objective of the study is to minimise load shedding of NMGs that are facing with power deficiency. The final structure selection is based on two different criteria (power loss in interconnection switches and reliability) point of view. The proposed method implemented on five NMGs system and numerical results show the effectiveness of the proposed NMGs optimal scheduling.

Related content

This is a required field
Please enter a valid email address