A study of battery operational optimization with data-driven clustering
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Environmental problems have led to continuing efforts to reduce fossil fuel consumption around the world. As a result, interest in battery-based hybrid systems is increasing in the shipbuilding and offshore industries. In particular, battery applications are more efficient for offshore vessels with frequent load variations and high peak power consumption. Propulsion systems are gen-erally classified as direct or electric propulsion. For some vessels, both direct and electric propulsion are used. The electrical power system of a vessel consists of one or multiple grids depending on the status (open/closed) of the bus tie. Owing to the complexity of propulsion and electrical power systems, designing the operation method and specifications of the battery onboard the vessel remains a challenge. Therefore, this paper categorizes and analyzes the data according to the condition of the bus tie. Principal component analysis clustering is applied to define the ship operation mode. The entire profile of a hybrid vessel with the hybrid propulsion sys-tem from a data point of view is analyzed, and an optimized battery operation method is proposed.
Abstract
Environmental problems have led to continuing efforts to reduce fossil fuel consumption around the world. As a result, interest in battery-based hybrid systems is increasing in the shipbuilding and offshore industries. In particular, battery applications are more efficient for offshore vessels with frequent load variations and high peak power consumption. Propulsion systems are gen-erally classified as direct or electric propulsion. For some vessels, both direct and electric propulsion are used. The electrical power system of a vessel consists of one or multiple grids depending on the status (open/closed) of the bus tie. Owing to the complexity of propulsion and electrical power systems, designing the operation method and specifications of the battery onboard the vessel remains a challenge. Therefore, this paper categorizes and analyzes the data according to the condition of the bus tie. Principal component analysis clustering is applied to define the ship operation mode. The entire profile of a hybrid vessel with the hybrid propulsion sys-tem from a data point of view is analyzed, and an optimized battery operation method is proposed.
참고문헌 (7)
- M. Granovskii, "Greenhouse gas emissions reduction by use of wind and solar energies for hydrogen and electricity production : Economic factors", International Journal of Hydrogen Energy, 32(8), pp.927~931 (2007)
- M. Ehsani, "Propulsion system design of electric and hybrid vehicles", IEEE trans-action on Industrial Electronics, 44(1), pp.19~27 (1997)
- K. Cullinane, "Emission control areas and their impact on maritime transport", Trasportation Re-search Part D : Transport and Environment, 28, pp.1~5 (2014)
- 김상진, "비상전원 기능을 갖는 하이브리드 ESS를 위한 PCS 제어전략", 전력전자학회 논문지, 21(4), pp.302~311 (2016), 전력전자학회[DOI]
- "Elbow method (clustering)"[URL]
- H. E. Lindstad, "Batteries in offshore support vessels – Pollution, climate impact and economics", Transportation Research Part D : Transport and Environment, 50, pp.409~417 (2017)
- 김종수, "선박 운전 환경에 따른 하이브리드 전기추진선박의운전모드별 출력 특성에 관한 연구", 한국마린엔지니어링학회지, 41(3), pp.245~250 (2017), 한국마린엔지니어링학회[DOI]
