Open AccessRobustly coordinated operational scheduling of a grid‐connected seaport microgrid under uncertainties
Author(s) -
Hein Kyaw,
Xu Yan,
Gary Wilson,
Gupta Amit Kumar
Publication year - 2021
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/gtd2.12025
Subject(s) - microgrid , scheduling (production processes) , renewable energy , operational planning , grid , time horizon , computer science , robustness (evolution) , load profile , electric power system , engineering , reliability engineering , operations research , electricity , mathematical optimization , power (physics) , operations management , electrical engineering , biochemistry , chemistry , geometry , mathematics , management , economics , gene , physics , quantum mechanics
The 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.