Open AccessNetworked microgrids for service restoration in resilient distribution systems
Author(s) -
Arif Anmar,
Wang Zhaoyu
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.2017.0380
Subject(s) - dispatchable generation , microgrid , computer science , distributed computing , service (business) , mathematical optimization , distributed generation , set (abstract data type) , electric power system , power (physics) , reliability engineering , control engineering , engineering , renewable energy , mathematics , electrical engineering , artificial intelligence , physics , control (management) , economy , quantum mechanics , economics , programming language
This study presents a novel networked microgrid (MG)‐aided approach for service restoration in power distribution systems. This study considers both dispatchable and non‐dispatchable distributed generators (DGs), and energy storage systems. The uncertainty of the customer load demands and DG outputs are modelled in a scenario‐based form. A stochastic mixed‐integer linear program is formulated with the objective to maximise the served load, while satisfying the operation constraints of the distribution system and MGs. The interaction among MGs is modelled using the type 1 special ordered set. Two approaches are developed and compared: (i) a centralised approach where all MGs are controlled by a distribution system operator, and (ii) a decentralised approach where the distribution system and MGs are managed by different entities. The proposed restoration models are tested on a modified IEEE 123‐bus distribution system. The results demonstrate the advantages of leveraging networked MGs to facilitate service restoration.