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作 者:马娜[1] 陈亮 鲁方林 吴曦 高杨德 MA Na;CHEN Liang;LU Fanglin;WU Xi;GAO Yangde(Shanghai Advanced Research Institute,Chinese Academy of Science,Shanghai 201210,China;State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210024,China;Wuxi Power Supply Company,State Grid Jiangsu Electric Power Co.,Ltd.,Wuxi 214000,China)
机构地区:[1]中国科学院上海高等研究院,上海201210 [2]国网江苏省电力有限公司电力科学研究院,江苏南京210024 [3]国网江苏省电力有限公司无锡供电分公司,江苏无锡214000
出 处:《电力科学与技术学报》2021年第1期145-151,共7页Journal of Electric Power Science And Technology
基 金:国网总部科技项目(SGTYHT/14-JS-188)。
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。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.
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