Open AccessApproach for self‐healing resilient operation of active distribution network with microgrid
Author(s) -
Zadsar Masoud,
Haghifam Mahmoud Reza,
Miri Larimi Sayyed Majid
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.1783
Subject(s) - microgrid , self healing , computer science , control reconfiguration , flexibility (engineering) , distributed computing , energy storage , mathematical optimization , control (management) , power (physics) , embedded system , mathematics , artificial intelligence , medicine , alternative medicine , pathology , statistics , physics , quantum mechanics
Self‐healing capability as one of the most important features of smart distribution networks (SDN) causes an increase in the resiliency and flexibility of networks by responding fast and restoring service during an outage. A two‐layer algorithm based on metaheuristics is proposed for the optimal operation of smart distribution network in self‐healing mode considering microgrid (MG) and direct load control (DLC) programme capability in the presence of micro turbine (MT) and energy storage (ES) in the distribution network. In the first layer, a new approach based on the graph theory is proposed to find the optimal forming of MGs, while in the second layer the optimal energy management of MGs, including storages, is determined considering self‐healing mode. To illustrate the advantage of the proposed method, the proposed algorithm is implemented on the modified IEEE 33 bus distribution network.