A study on load monitoring algorithms for EMS of hybrid electric propulsion ship
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초록
To reduce the fuel consumption of electric propulsion ships equipped with various power sources, it is necessary to distribute the required load of the ship in a manner that aligns with the fuel consumption characteristics of each power source. This was achieved by optimizing the fuel consumption equation for the operation of each power source. As the number of power sources onboard increases, the time required for the optimization algorithms to complete their calculations also increases, potentially leading to difficulties in real-time control. In this study, a probability band algorithm is proposed for analyzing the power load demand of electric propulsion ships. The proposed method employs a historical analysis of the electric load demand to derive a representative value. As this representative value changes, the method determines the necessity for load-distribution optimization. To ascertain the efficacy of the probability band algorithm, a virtual ship comprising three distinct power generation sources is constructed and simulated with the propulsion and power loads derived from the ship, thereby ensuring the integrity of the results.
Abstract
To reduce the fuel consumption of electric propulsion ships equipped with various power sources, it is necessary to distribute the required load of the ship in a manner that aligns with the fuel consumption characteristics of each power source. This was achieved by optimizing the fuel consumption equation for the operation of each power source. As the number of power sources onboard increases, the time required for the optimization algorithms to complete their calculations also increases, potentially leading to difficulties in real-time control. In this study, a probability band algorithm is proposed for analyzing the power load demand of electric propulsion ships. The proposed method employs a historical analysis of the electric load demand to derive a representative value. As this representative value changes, the method determines the necessity for load-distribution optimization. To ascertain the efficacy of the probability band algorithm, a virtual ship comprising three distinct power generation sources is constructed and simulated with the propulsion and power loads derived from the ship, thereby ensuring the integrity of the results.
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