基于改进BP神经网络算法的岸电电源智能输出控制的研究

发布时间：2018-02-27 22:14

本文关键词： 改进BP神经网络算法岸电电源智能输出控制　出处：《电网与清洁能源》2017年02期 　论文类型：期刊论文

【摘要】：船舶岸电技术是指允许装有特殊设备的船舶在泊位期间接入码头陆地侧电网的技术。船舶靠港时直接接用港口码头陆上电源,可在很大程度上降低靠港船舶供电系统的运行和维护成本,并提高能源利用效率。对国内、外港口船舶岸电系统应用情况和岸电技术存在的问题进行分析,基于改进BP神经网络算法的内模控制器设计了一种船舶岸电电源智能输出控制系统,并分别通过轻载实验和重载实验对该智能输出控制系统的功能进行了验证,证明其能有效控制船舶岸电电源的输出。
[Abstract]:Ship-shore power technology refers to the technology that allows ships equipped with special equipment to connect to the landside power grid of the dock during the berth period. When the ship approaches the port, it is directly connected with the onshore power supply of the port terminal. To a great extent, the operation and maintenance cost of the power supply system of the port ship can be reduced, and the energy utilization efficiency can be improved. The application of the shore power system and the problems existing in the onshore power technology in domestic and foreign ports are analyzed. Based on the improved BP neural network algorithm, an intelligent output control system of ship shore power supply is designed, and the function of the intelligent output control system is verified by light load experiment and heavy load experiment respectively. It is proved that it can effectively control the output of ship shore power supply.
【作者单位】：国网浙江省电力公司;北京智芯微电子科技有限公司;
【基金】：国家电网公司科技项目资助(智能用电港口关键技术研究项目号5211011400AZ)~~
【分类号】：U653.95

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