基于“互联网+”与群集智能的电能计量设备运维作业优化研究  

Research on Operating and Maintaining Task Optimization of Electric Meter Based on “Internet Plus” and Swarm Intelligence

作　　者：张思建 张捷 方彦军[2] 

机构地区：[1]广东电网有限责任公司电力科学研究院,广州510080 [2]武汉大学自动化系,武汉430072

出　　处：《自动化与仪表》2017年第1期11-15,共5页Automation & Instrumentation

基　　金：国家自然科学基金项目(61201168)

摘　　要：随着电能计量设备运维作业要求的不断提升,传统作业模式早已无法满足新的需求。针对传统运维作业模式存在的任务分配不科学、巡检路径规划不合理等问题,该文以"互联网+"及群集智能在电力行业的应用为出发点,建立基于"抢红包"机制的运维作业任务分配模式,并提出基于觅食与躲避行为的粒子群算法应用于求解电能计量设备运维作业的动态优化问题。仿真实验表明,所提出的改进粒子群算法具有更高的优化性能,且能够准确、高效地完成电能计量设备运维作业优化问题全局最优点的求解。Due to the increasing requirement in operating and maintaining task of electric meter（OMT-EM）,the tradi- tional mode is not fit for the modern requirement. In terms of the weaknesses of task allocation and path planning in OMT-EM,this paper focused on the application of ＂Internet plus＂ and swarm intelligence in power electric indus- try,build a task allocation mode based on the ＂red packets grabbing＂ , and proposed a novel particle swarm optimiza- tion based on foraging and avoiding behavior（PSOFA）,which is utilized in solving the problem of OMT-EM. Exper- imental result shows that the proposed algorithm outperforms some state-of-the-art algorithms significantly,and can solve the OMT-EM problem precisely and effectively.

关 键 词：粒子群 互联网+ 电能计量设备 运维作业优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]