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舰船电力系统中智能电网技术的应用浅析
引用本文:潘孟琦, 董理君, 李晖, 范慧丽, 应文. 面向海洋传感器供能的船载能量网络参数配置技术[J]. 中国舰船研究, 2019, 14(3): 129-134, 151. DOI: 10.19693/j.issn.1673-3185.01324
作者姓名:潘孟琦  董理君  李晖  范慧丽  应文
作者单位:1.中国地质大学 计算机学院, 湖北 武汉 430074;2.中国舰船研究设计中心, 湖北 武汉 430064;3.中电科海洋信息技术研究院有限公司, 北京 100041
基金项目:国家科技重大专项资助项目(2017ZX05036-001-010);国家重点研发计划资助项目(2018YFB1004600)
摘    要:  目的  由于海面传感器的耗能点分散、负荷波动幅度较大且节能降耗的需求迫切,为了优化能量供给模式,提出面向海面传感器的船载能量网络(SEN)。  方法  首先,基于车载能量网络、动态无线充电技术及电动船舶技术,分析SEN模型的可行性;然后,基于海面传感器的特点,建立SEN模型,提出能量传输最大化和能量损失最小化这2个问题,并定义问题模型和约束函数;最后,通过开源模型MaritimeSim选取基础实验数据集。  结果  实验结果表明,通过合理设置参数,SEN能够将海上可再生能量传输至海面传感器节点,从而补充电力网络并增强其电能传输能力。  结论  研究成果可为优化海面传感器的能量供给提供新的设计方法。

关 键 词:电力船舶  船载能量网络  动态充电  传感器
收稿时间:2018-06-19

Application of smart grid technology to shipboard power system
Pan Mengqi, Dong Lijun, Li Hui, Fan Huili, Ying Wen. Parameter configuration technology of ship-borne energy network for ocean sensors[J]. Chinese Journal of Ship Research, 2019, 14(3): 129-134, 151. DOI: 10.19693/j.issn.1673-3185.01324
Authors:Pan Mengqi  Dong Lijun  Li Hui  Fan Huili  Ying Wen
Affiliation:1.School of Computer Science, China University of Geosciences, Wuhan 430074, China;2.China Ship Development and Design Center, Wuhan 430064, China;3.China Electronics Technology Group Corporation Ocean Corp., Beijing 100041, China
Abstract:  Objectives  In terms of ocean sensors, their energy consumption points are scattered and the load fluctuation is drastic, with urgent need in energy conservation and consumption reduction. In order to optimize the energy supply of the ocean sensors, this paper studies the Ship-borne Energy Network(SEN) for ocean sensors.  Methods  Firstly, the feasibility of SEN model is analyzed based on the development of vehicle energy network, dynamic wireless charging technology and electric ship technology. Next, based on the characteristics of the ocean sensor, the SEN model is established to propose two issues of energy transmission maximization and energy loss minimization and define problem model and constraint function. Finally, we select the basic experimental data set through the open source model MaritimeSim.  Results  The experimental results show that SEN can transfer offshore renewable energy to ocean sensors node under some reasonable settings, complement the power network and enhance its power transmission capability.  Conclusions  The study results can provide new design method for optimizing the energy supply of ocean sensors.
Keywords:electric ship  Ship-borne Energy Network(SEN)  dynamic charging  sensors
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