Joint generation and voyage scheduling for photovoltaic integrated all-electric ships

• Published in: Journal of engineering (Stevenage, England) Vol. 2019; no. 18; pp. 5085 - 5089
• Main Authors: Fang, Sidun, Cheng, Haozhong, Zhang, Chengming
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.07.2019; Wiley
• Subjects: all-electric ship; bi-level programming problem; column; constraint generation method; diesel-electric generators; distributed power generation; electric generators; energy storage system; greener voyage; joint generation; mobile microgrid; onboard diesel generators; photovoltaic generation; photovoltaic power systems; power generation control; power grids; propulsion; PV energy; PV integrated AES; scheduling; service load; ships; The 7th International Conference on Renewable Power Generation (RPG 2018); voyage scheduling method; electric generators; photovoltaic generation; PV energy; all-electric ship; bi-level programming problem; diesel-electric generators; power generation control; photovoltaic power systems; column; constraint generation method; propulsion; PV integrated AES; distributed power generation; service load; ships; energy storage system; voyage scheduling method; onboard diesel generators; joint generation; mobile microgrid; scheduling; power grids; greener voyage
• ISSN: 2051-3305; 2051-3305
• DOI: 10.1049/joe.2018.9289

with the onboard diesel generators and energy storage system to meet the propulsion and service load, the all-electric ship (AES) can be viewed as a ‘mobile microgrid’. Nowadays, photovoltaic (PV) generation is gradually integrated into the AES for a ‘greener’ voyage. To fully utilise the PV energy, this paper proposes a joint generation and voyage scheduling method for the PV integrated AES. The overall model is formulated as a bi-level programming problem and solved by column-and-constraint generation method. The simulation results manifest that, the integration of PV into AES leads to reductions on both the fuel consumption and CO2 emission.