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IET Generation, Transmission & Distribution
Article . 2020 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Robustly coordinated operational scheduling of a grid‐connected seaport microgrid under uncertainties

Authors: Wilson Gary; Kyaw Hein; Amit Kumar Gupta; Yan Xu;

Robustly coordinated operational scheduling of a grid‐connected seaport microgrid under uncertainties

Abstract

AbstractThe modern seaport system is becoming more electrified by integrating energy storage system, offshore renewable energy sources (RESs), and shore‐to‐ship power supply system. The energy management and operational scheduling aim to maximise the profit gain by transacting energy with the main grid, reduce the operation cost while minimising the emission at seaport territory. This work proposes a robustly coordinated operational scheduling method of a seaport microgrid as a grid‐integrated energy hub under uncertain renewable energy sources power output and load demand. In the day‐ahead operation planning, generators, unit commitment and shore‐to‐ship load schedules are optimised. To address the uncertainty in the renewable energy sources, the day‐ahead operation planning is modelled as a two‐stage robust optimisation model with conflicting objectives and solved with the column and constraints generation algorithm. These results are used as input parameters for the hour‐ahead generation scheduling in the following day. With uncertainty realisation, a shorter time horizon with higher time resolution deterministic optimisation is carried out for the generation dispatch. The proposed method is verified with the IEEE‐33 bus distribution network with different uncertainties sets. The simulation results have verified the robustness and effectiveness of the method in dealing with uncertainties. Coordination between day‐ahead and hour‐ahead not only improves the accuracy and performance of the final dispatch result but also meets the distribution network constraints at generation and load buses.

Related Organizations
Keywords

TK1001-1841, Distribution or transmission of electric power, Power system planning and layout, Optimisation techniques, Other power stations and plants, Power system management, operation and economics, TK3001-3521, Reliability, Distributed power generation, Production of electric energy or power. Powerplants. Central stations

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
gold
Published in a Diamond OA journal