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机构地区:[1]浙江工业大学特种装备制造与先进加工技术教育部/浙江省重点实验室,浙江杭州310014
出 处:《机电工程》2015年第7期982-986,共5页Journal of Mechanical & Electrical Engineering
基 金:国家高技术研究发展计划"863"计划资助项目(2013AA050405);国家自然科学基金资助项目(51375446)
摘 要:为解决对光伏微网系统中光伏板组件的工作状态监控问题,将复杂网络中的小世界网络模型应用到对光伏板组件的性能参数的监测中。开展了对光伏板组件性能参数的跟踪查询分析,建立了由光伏板组件形成的拓扑结构与小世界网络模型之间的关系,提出了一种基于小世界网络模型的查询策略(Query WSN).对由光伏板组件形成的拓扑结构是否符合小世界网络模型的特性进行了评价,在NS-2及其扩展程序的仿真实验平台上对该查询策略进行了建模与仿真分析.通过单片机采集了光伏板组件的状态信息,同时对信息进行存储,并将其抽象为查询的节点,以逻辑关联作为长程连接,降低了网络的特征路径长度。仿真结果表明:Query WSN能够精确地查询光伏板组件的状态信息,同时具有良好的可扩展性,为光伏微网技术的推广应用奠定了基础。Aiming at solving the problem of monitoring the working condition of photovoltaic( PV) panel in PV micro-grid system,the small world network model in complex networks was applied to the monitoring of PV panel. Carried out the analysis of the parameters of PV panel,established the relationship between the topological structure formed by the PV panel with the small world network model,and a query strategy based on the small world network model( Query WSN) was presented. Evaluated whether the topological structure formed by the PV panel components with the characteristics of small world network model,modeling and simulation analysis were carried out on the NS-2 simulation platform. Stated and storage the information acquisition of PV panel through the singlechip,and the logical association was takem as a long distance connection to reduce the characteristic path length of the network. The results indicate that Query WSN can accurately query the PV panel's state information and also had a good scalability which laid the foundation to popularize and apply PV micro-grid technology.
分 类 号:TM615[电气工程—电力系统及自动化] TP24[自动化与计算机技术—检测技术与自动化装置]
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