2025年4月4日 周五
首页 > 过刊浏览>2021年第36卷第1期 >145-151. DOI:10.19781/j.issn.16739140.2021.01.016
PDF HTML阅读 XML下载 导出引用 引用提醒
基于改进人工鱼群算法的配电站三维空间的传感器优化布置
CSTR:
[cstr]
作者:
通讯作者:

马娜(1985),女,硕士,主要从事物联网技术、智能算法在电力和机械领域的应用研究;Email:man@sari.ac.cn

中图分类号:

TP18;TP393

基金项目:

国网总部科技项目(SGTYHT/14JS188)


Optimal placement of sensorsin threedimensional space of distribution station based on improved artificial fish swarmalgorithm
Author:
  • 摘要
    • | |
  • 访问统计
    • |
  • 参考文献 [22]
    • | | | |
  • 文章评论
    摘要:

    为了解决配电网中三维空间故障检测传感器节点的优化配置问题,提出了基于物联网传感器和改进的人工鱼群算法,解决配电网中三维空间故障检测传感器节点的优化布置问题,实现空间检测传感器节点的有效优化布置。首先采用MSP 430F 149微处理器芯片构建空间传感器节点,与监控计算机组成配电站温度监控系统,实现配电站温度检测数据的有效采集、传输和处理。其次,通过人工鱼群的初始化和改进梯度下降法改进传统的人工鱼群算法,增大视野和提高算法的收敛精度,最后应用改进的人工鱼群算法优化检测传感器节点的配置。实验证明基于物联网传感器和改进的人工鱼群算法可以对变电站进行有效的空间优化监控。

    Abstract:

    In order to solve the distribution network in three dimensional space fault detection of optimal allocation problem of sensor nodes, the improved artificial fish algorithm is proposed based on the iot sensor effectively which realizes effective optimal allocation of space detection sensor nodes. Firstly, the MSP 430F 149 microprocessor chip is utilized to construct the space sensor node together with the monitoring computer to form the distribution station temperature monitoring system which realizes the effective collection, transmission and processing of the distribution station temperature detection data. Secondly, the traditional artificial fish swarm algorithm is improved through the initialization of artificial fish swarm and the improved gradient descent method. The field of view and the convergence accuracy of the algorithm is improved. Finally, an improved artificial fish swarm algorithm is applied to optimize the placement of sensor nodes. It is shown that the improved artificial fish swarm algorithm based on IoT sensors can effectively optimize the monitoring of substation space.

    参考文献
    [1] LinK C,Chen S Y,Hung J C.Botnet detection using support vector machines with artificial fish swarm algorithm[J].Journal of Applied Mathematics,2004(1):19.
    [2] Wang H B,Fan C C,Tu X Y.AFSAOCP:A novel artificial fish swarm optimization algorithm aided by ocean current power[J].Applied Intelligence,2016,45(4):9921007.
    [3] Neshat M,Sepidnam G,Sargolzaei M,et al.Artificial fish swarm algorithm:a survey of the stateoftheart,hybridization,combinatorial and indicative applications[J].Artificial Intelligence Review,2014,42(4):965997.
    [4] Liu X,Zhang X,Li W,et al.Swarm optimization algorithms applied to multiresource fair allocation in heterogeneous cloud computing systems[J].Computing,2017,99(12):12311255.
    [5] Liu Y,Wang R X.Study on network traffic forecast model of SVR optimized by GAFSA[J].Chaos Solitons & Fractals,2015,89(3):153159.
    [6] 黄瑜岳,李克清.基于人工鱼群算法的无线传感器网络覆盖优化[J].计算机应用研究,2013,30(2):554556.HUANG Yuyue,LI Keqing.Coverage optimization of wireless sensor networks based on artificial fish swarm algorithm[J].Application Research of Computers,2013,30(2):554556.
    [7] 王明亮,闵新力,薛君志.基于改进人工鱼群算法的WSN覆盖优化策略[J].微电子学与计算机,2015,32(6):7881.WANG Mingliang,MIN Xinli,XXUE Junzhi.Coverageoptimization strategy of wireless sensor network based on improved artifical fish swarm algorithm[J].Microelectronics and Computer,2015,32(6):7881.
    [8] 李志武.人工鱼群算法的改进及在无线传感器网络覆盖优化的应用[D].长沙:湖南大学,2012.
    [9] 廖灿星,张平,李行善,等.基于混合人工鱼群算法的传感器网络优化[J].北京航空航天大学学报,2010,36(3):373377.LIAO Canxing,ZHANG Ping,LI Xingshan,et al.Optimal deployment in sensor networks based on hybrid artificial fish school algorithm[J].Journal of Beijing University of Aeronautics and Astronautics,2010,36(3):373377.
    [10] 党小超,杨冬冬,郝占军.基于虚拟力的传感器网络三维覆盖算法[J].计算机应用,2015,35(11):30213025.DANG Xiaochao,YANG Dongdong,HAO Zhanjun.Threedimensional coverage algorithm based on virtual force in sensor network[J].Journal of Computer Applications,2015,35(11):30213025.
    [11] 肖甫,王汝传,孙力娟,等.一种面向三维感知的无线多媒体传感器网络覆盖增强算法[J].电子学报,2012,40(1):167172.XIAO Fu,WANG Ruchuan,SUN Lijuan,et al.Coverageenhancing algorithm for wireless multimedia sensor networks based on threedimensional perception[J].Acta Electronica Sinica,2012,40(1):167172.
    [12] 张美燕,蔡文郁,周丽萍.三维水下移动传感网多目标有向路径覆盖增强机制研究[J].传感技术学报,2014,27(1):100106.ZHANG Meiyan,CAI Wenyu,ZHOU Liping.Research on directional path coverage enhancement algorithm ofmultiple objects in 3D underwater mobile sensor networks[J].Chinese Journal of Sensors and Actuators,2014,27(1):100106.
    [13] 伊廷华,王传伟,李宏男.利用分布式狼群算法进行三维传感器优化布置的方法研究[J].振动工程学报,2014,27(5):668675.YI Tinghua,WANG Chuanwei,LI Hongnan.Optimal triaxial sensor placement using distributed wolf algorithm[J].Journal of Vibration Engineering,2014,27(5):668675.
    [14] 韩筛根,陈驰,王自桢.配网用电压电流传感器误差在线测试装置设计及应用[J].高压电器,2020,56(12):245241.HAN Shaigen,CHEN Chi,WANG Zizhen.Design and application of error online testing device for voltage and current sensors in distribution network[J].High Voltage Apparatus,2020,56(12):245241.
    [15] 汤紫霖.变电站工频电磁环境信息监测系统设计[D].武汉:武汉理工大学,2014.
    [16] 王云飞.基于无线传感网络的变电站微气象环境监测研究[D].昆明:昆明理工大学,2015.
    [17] 陈斌,牛津文,万红,等.变电站辅助设备监控系统三维建模及展示技术研究[J].电力系统保护与控制,2020,48(13):180187.CHEN Bin,NIU Jinwen,WAN Hong,et al.Research on threedimensional modeling and display technology of a substation auxiliary equipment monitoring system[J].Power System Protection and Control,2020,48(13):180187.
    [18] 艾精文,党晓婧,吕启深,等.基于物联网的具有全景功能的全维度设备状态监测系统研究[J].电力系统保护与控制,2019,47(16):122128.AI Jingwen,DANG Xiaojing,LV Qishen,et al.Research on full dimension equipment status monitoring system with panoramic function[J].Power System Protection and Control,2019,47(16):122128.
    [19] 吴帅,孙力娟,肖甫,等.面向三维的无线传感器网络覆盖增强算法[J].计算机研究与发展,2011,48(S2):106110.WU Shuai,SUN Lijuan,XIAO Fu,et al.A coverageenhancing algorithm for the threedimensional wireless sensor networks[J].Journal of Computer Research and Development,2011,48(S2):106110.
    [20] 阳晓明,吕红芳,朱辉.基于改进人工鱼群算法的配电网络重构[J].电测与仪表,2020,57(17):7278.YANG Xiaoming,LV Hongfang,ZHU Hui.Reconfiguration of distribution network based on improved artificial fish swarm algorithm[J].Electrical Measurement & Instrumentation,2020,57(17):7278.
    [21] 胡珏,韦钢,谢素娟,等.基于人工鱼群算法的主动配电网故障定位[J].智慧电力,2020,48(6):112118+124.HU Jue,WEI Gang,XIE Sujuan,et al.Active distribution network fault location based on artificial fish swarm algorithm[J].Smart Power,2020,48(6):112118+124.
    [22] 曹一家,何杰,黄小庆,等.物联网技术在输变电设备状态监测中的应用[J].电力科学与技术学报,2012,27(3):1627.CAO Yijia,HE Jie,HUANG Xiaoqing,et al.Application of the internet of things technology in power transmission equipments condition monitoring[J].Journal of Electric Power Science and Technology,2012,27(3):1627.
    相似文献
    引证文献
引用本文

马娜,陈亮,鲁方林,等.基于改进人工鱼群算法的配电站三维空间的传感器优化布置[J].电力科学与技术学报,2021,36(1):145-151.
MA Na, CHEN Liang, LU Fanglin, et al. Optimal placement of sensorsin threedimensional space of distribution station based on improved artificial fish swarmalgorithm[J]. Journal of Electric Power Science and Technology,2021,36(1):145-151.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 在线发布日期: 2021-04-16
文章二维码

微信公众号二维码

您是本站第 4754718 访问者

通信地址：长沙市（天心区）万家丽南路960号长沙理工大学

电话/传真：0731-85258195 E-mail：dlxb04@163.com

版权所有：电力科学与技术学报 ® 2025 版权所有

京公网安备 11010802026262号