Тип публикации: статья из журнала

Год издания: 2023

Идентификатор DOI: 10.3390/en16248101

Ключевые слова: electric power system, ship, mathematical model, SimInTech 2020, simulation, simulator, main distribution board, service life

Аннотация: <jats:p>Modern ships are complex energy systems containing a large number of different elements. Each of these elements is simulated separately. Since all these models form a single system (ship), they are interdependent. The operating modes of some systems influence others, but at the same time, the work of all the systems should Показать полностьюbe aimed at fulfilling the basic functions of the ship. The work proposes a methodological approach to combining various systems of ships into a single complex model. This model allows combining models of ship systems of various levels (microlevel, macrolevel, metalevel, megalevel). The work provides examples of models of such multi-level energy systems. These are energy systems composed of an electric generator, a diesel engine, a propeller shaft, and algorithms used for operating the common parts of the ship's electric power system and a piston wear process. Analytical, structural, numerical, and object-oriented models were made for these objects. Each of these particular models describes a limited class of problems, has characteristic properties, and a mathematical structure. The work shows how particular models can be interconnected using a set-theoretic description. Particular models are combined into macrolevel models, whose output parameters are quantities that are by no means related. The macrolevel models are interrelated using control models. Control models belong to the metalevel and allow for assigning settings and response thresholds to algorithms used in automation systems. Such a model (megalevel model) allows, ultimately, investigating the dynamics of the entire system as a whole and managing it.</jats:p>

Журнал: Energies

Выпуск журнала: Т. 16, № 24

Номера страниц: 8101

ISSN журнала: 19961073

• Boychuk Igor P. (Department of Higher Mathematics and Physics, Marine Engineering Faculty, Admiral Ushakov Maritime State University, 353918 Novorossiysk, Russia)
• Grinek Anna V. (Department of Operation of Ship's Electrical Equipment and Automatic Devices, Marine Engineering Faculty, Admiral Ushakov Maritime State University, 353918 Novorossiysk, Russia)
• Martyushev Nikita V. (Department of Advanced Technologies, Tomsk Polytechnic University, 30, Lenin Ave., 634050 Tomsk, Russia)
• Klyuev Roman V. (Department “Technique and Technology of Mining and Oil and Gas Production”, Moscow Polytechnic University, 33, B. Semenovskaya Str., 107023 Moscow, Russia)
• Malozyomov Boris V. (Department of Electrotechnical Complexes, Novosibirsk State Technical University, 20, Karl Marks Ave., 630073 Novosibirsk, Russia)
• Tynchenko Vadim S. (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Kukartsev Viktor A. (Department of Materials Science and Materials Processing Technology, Polytechnic Institute, Siberian Federal University, 660041 Krasnoyarsk, Russia)
• Tynchenko Yadviga A. (Information-Control Systems Department, Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia)
• Kondratiev Sergey I. (Department of Ships Navigation, Faculty of Water Transport Operation and Navigation, Admiral Ushakov Maritime State University, 353918 Novorossiysk, Russia)

• Scopus
• Ядро РИНЦ (eLIBRARY.RU)