电子学报 ›› 2018, Vol. 46 ›› Issue (8): 1931-1937.DOI: 10.3969/j.issn.0372-2112.2018.08.018

• 学术论文 • 上一篇    下一篇

基于场景生成的能量收集网络模拟方法

王哲1, 李陶深2, 叶进2, 葛志辉2, 吴敏3   

  1. 1. 广西大学电气工程学院, 广西南宁 530004;
    2. 广西大学计算机与电子信息学院, 广西南宁 530004;
    3. 广西电网公司, 广西南宁 530023
  • 收稿日期:2017-04-10 修回日期:2017-12-13 出版日期:2018-08-25
    • 作者简介:
    • 王哲 男,1991年出生于河南南阳,广西大学电气工程学院博士研究生,研究方向为无线网络、智能信息技术.E-mail:designbyyili@163.com;李陶深 男,1957年出生于广西南宁,广西大学计算机与电子信息学院教授,博士生导师,研究方向为无线Mesh网络、网络计算与信息安全、分布式工程数据库、CAD理论及应用.
    • 基金资助:
    • 国家自然科学基金 (No.61762010,No.61363067)

A Novel Simulation in Energy Harvesting Networks Based on Scenario Generation

WANG Zhe1, LI Tao-shen2, YE Jin2, GE Zhi-hui2, WU Min3   

  1. 1. College of Electrical Engineering, Guangxi University, Nanning, Guangxi 530004, China;
    2. School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi 530004, China;
    3. China Southern Power Grid, Nanning, Guangxi 530023, China
  • Received:2017-04-10 Revised:2017-12-13 Online:2018-08-25 Published:2018-08-25

摘要: 能量收集网络(Energy Harvesting Networks)是一种新型的计算机网络形式,它通过搜寻各类环境能源,将其转化成可用的电能,然后将这些电能作为主要或辅助的电源方式供给电子设备进行网络通讯.但是,现有的能量收集网络大多采用解析概率分布函数刻画能量获取过程,无法准确模拟实际情况,缺乏真实性.为此,提出一种基于场景生成的能量收集网络模拟技术.首先,该方法基于历史能量获取数据,无需预设概率分布函数,使用最优消减技术生成单时段代表场景;然后,利用时齐模拟退火算法生成日场景序列,以便能够准确模拟能量收集网络中能量获取的随机特性.以实际的风电数据为例,通过与真实数据的对比,验证该方法的准确性和稳定性;然后以网络吞吐量的优化为例,验证了该方法在能量收集网络系统规划运行中的可行性和有效性.

关键词: 能量收集网络, 能量收集, 场景生成, 模拟技术, 消减技术

Abstract: Energy harvesting networks is a new form of computer networks.It can convert the environmental energy into usable electric energy,and supply the electrical energy as a primary or secondary power source to the electronic device for network communication.However,most of the energy harvesting networks use the analytical probability distribution function to describe the energy acquisition process,which can not accurately simulate the actual situation because the lack of authenticity.We propose an energy harvesting networks simulation method based on scenario generation in this paper.Firstly,based on the historical data of the harvested energy,the method does not need to set a probability distribution function in advance,and uses optimal scenario reduction technology to generate representative scenarios in single period.Secondly,it uses homogeneous simulated annealing algorithm to generate daily scenario sequences,so that can accurately simulate the random characteristics in energy harvesting networks.Taking the actual wind power data as an example,the accuracy and stability of the method are verified by comparison with the real data.Then we cite an instance to optimize network throughput,the optimal solution and data analysis showed the method based on scenario generation was feasible and effective in energy harvesting networks.

Key words: energy harvesting networks, energy harvesting, scenario generation, simulation, reduction technology

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