Wireless sensor monitoring network optimization research in smart substation

摘要：

　　The poor computation ability and limited storage of power of nodes have seriously restricted wireless sensor network (WSN) applied to smart substation equipment condition monitoring. According to the application of substation equipment condition monitoring, clustering network model for equipment monitoring is proposed. And single-hop and multi-hop network consumption model is established respectively. Then using group search optimization algorithm, energy consumption optimization problem is analyzed under the influence of equipment monitoring network coverage, number of network nodes, node sensing radius and the distance of equipment monitoring node to information fusion node, information fusion node to sink node, in order to achieve minimal node cluster and cluster-head energy consumption. Compared to the particle swarm optimization, the simulation results show that the GSO algorithm is simpler and easier to implement, and has better performance in terms of convergence and computation speed. The results have direct reference value for optimization design of smart substation equipment condition monitoring used in WSN.

关键词： wireless sensor network smart substation clustering condition monitoring group search optimize algorithm energy consumption optimization

作者: Jie HE Yang Yang Yuanyang Chen Kai Ma

作者单位: Electric Power Research Institute of Guangdong Power Grid Corporation,Guangzhou 510080,China Xiangtan Electric Power Bureau,Xiangtan 411104,China State Grid Hunan Electric Power Company,Changsha 310007,China

会议类型: 国际会议

会议名称: 2016中国国际供电会议(CICED2016)

会议地点: 西安

会议语种:英文

页码: 1-6

在线出版日期: 2016-09-01（万方平台首次上网日期，不代表论文的发表时间）