Resilient Distribution Networks Considering Mobile Marine Microgrids: A Synergistic Network Approach

This paper proposes a resilient and secure configuration for coastal distribution grids by integrating the security constraint unit commitment (SCUC) and mobile marine microgrids (MMMGs). In the proposed configuration, MMMGs can be connected to the coastal distribution grids in both normal and post-...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on industrial informatics 2021-08, Vol.17 (8), p.5742-5750
Main Authors: Dabbaghjamanesh, Morteza, Senemmar, Soroush, Zhang, Jie
Format: Article
Language:English
Subjects:
Algorithms
Configurations
Diesel generators
Disasters
Distributed generation
Distribution networks
Energy storage
Gas turbines
Generators
Grid reliability
Informatics
mobile microgrids
Optimization
Photovoltaic cells
Power grids
Power system reliability
Reliability engineering
Renewable energy sources
Resilience
resiliency
security configuration
uncertainty
Unit commitment
Wind turbines
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes a resilient and secure configuration for coastal distribution grids by integrating the security constraint unit commitment (SCUC) and mobile marine microgrids (MMMGs). In the proposed configuration, MMMGs can be connected to the coastal distribution grids in both normal and post-disaster operations. It is assumed that both MMMGs and SCUC networks include both dispatchable (e.g., gas turbines and diesel generators) and nondispatchable generators (e.g., photovoltaics and wind turbines). The proposed problem consists of realistic formulations that seek to minimize the total MMMGs and SCUC operation costs, while maximizing distribution grid resiliency. A heuristic technique, known as the collective decision optimization algorithm, is employed to address the complexity and nonlinearity of the formulated problem. Moreover, the unscented transform technique is adopted to model the uncertainties associated with renewable energy sources output and load demand. To show the effectiveness and merits of the proposed configuration, the IEEE 69-bus distribution network is selected and tested for both normal and post-disaster operations.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2020.2999326