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Multi-energy ship control management method and device based on load prediction algorithm

ActiveCN114180023AKeep abreast of changes in working conditionsStay on top of the situationPropulsion power plantsPropulsion by capacitorsPrediction algorithmsLeast squares support vector machine
The invention discloses a multi-energy ship control management method and device based on a load prediction algorithm, and the method comprises the steps: collecting load data and temperature and humidity climate data, and carrying out the preprocessing of the collected data, and determining a training sample set; establishing a load prediction model by adopting a least square support vector machine algorithm; training a load prediction model based on the training sample set, performing parameter optimization through a particle swarm algorithm, and determining an optimal load prediction model; acquiring current load data, on-off state data and temperature and humidity climate data, and inputting the current load data and the temperature and humidity climate data into the optimal load prediction model to obtain a ship load prediction value; collecting ship electric power parameters, and obtaining input power; and based on the input power, the ship load predicted value and the on-off state data, controlling electric propulsion of the ship, ship energy equipment and on-off states of first-level, second-level and third-level loads. The change condition of the ship load can be grasped in time, the diesel generator is increased or closed, and the operation cost is reduced.
Owner:716TH RES INST OF CHINA SHIPBUILDING INDAL CORP
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