期刊
IET GENERATION TRANSMISSION & DISTRIBUTION
卷 11, 期 14, 页码 3612-3619出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2017.0380
关键词
distributed power generation; energy storage; demand side management; stochastic programming; integer programming; linear programming; power system restoration; uncertain systems; centralised control; decentralised control; power generation control; distribution networks; networked microgrids; service restoration; resilient distribution systems; networked MG-aided approach; power distribution systems; dispatchable distributed generators; nondispatchable distributed generators; energy storage systems; customer load demand uncertainty; stochastic mixed-integer linear program; served load maximisation; operation constraints; centralised approach; distribution system operator; decentralised approach; modified IEEE 123-bus distribution system
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.
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