Open AccessOptimal power management of electrical energy storage system, CHP, conventional and heat‐only units considering both electrical and thermal loads for assessment of all‐electric ship's system
Author(s) -
Firouzmakan Pouya,
Homayie Shima Bagherzade,
Hooshmand RahmatAllah
Publication year - 2020
Publication title -
iet electrical systems in transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 26
ISSN - 2042-9746
DOI - 10.1049/iet-est.2018.5070
Subject(s) - thermal energy storage , automotive engineering , electric power , backup , electric power system , electrical load , electric potential energy , flexibility (engineering) , engineering , renewable energy , energy storage , power (physics) , reliability engineering , computer science , mechanical engineering , electrical engineering , voltage , physics , ecology , statistics , mathematics , quantum mechanics , biology
Using different types of generation systems in ships, which are known as all‐electric ships, can play a key role in increasing economic benefits in the long term. On the other hand, electrical energy storage systems (EESSs) provide flexibility for supporting the electrical load of ships in the presence of renewable energy sources and the other generation units. Since power demands of a ship are not limited to an electrical load, combined heat and power (CHP) units can be considered as backup units for heat‐only units in addition to their economic and environmental advantages. In this study, new optimal power management is presented to handle a generation scheduling problem of a cruise ship for 12 h time intervals. In this regard, this method is based on the Lagrangian relaxation approach, a subset of ɛ‐constraint approaches, and the use of marginal cost to determine the performance of EESS in each time interval by taking all the constraints into account. The capability of the proposed algorithm is analysed by simulation results of a cruise ship, including conventional, CHP, EESS and heat‐only units, in order to achieve minimum operation cost with a short runtime.