摘要
配电网故障抢修是配电网运行的重要工作,科学高效的抢修管理和实施方法对提高配电网供电可靠性和配电网服务质量意义重大。提出了基于Hadoop处理技术的大数据解决方法处理配电网抢修驻点优化问题;全面分析了影响配电网抢修效率的各个因素;建立了配电网抢修驻点优化模型;引入了处理大数据的数据挖掘技术以提高模型分析的效率。此外,通过对配电网抢修点和抢修态进行综合分析与定位,对电网故障发生时间和故障位置的准确快速判断,实现合理有效调配抢修资源,从而提高配电网故障抢修工作的服务质量和效率。
Emergency repair is an important task in the operation of distribution network, for which the scientific and efficient management and implementation method is vital to improve reliability and service quality of distribution network. A method based on Hadoop analysis method is proposed to solve the optimization problem of distribution network emergency repair stagnation points. The factors that affect the efficiency of distribution network emergency repair is analyzed comprehensively, optimization model for emergency repair stagnation point is built up, and the data mining technique for processing big data is introduced to enhance the efficiency of model analysis. In addition, the reasonable and effective allocation of emergency repair resources is achieved by quick and accurate estimation of fault time and fault point and comprehensive analysis and location of distribution network emergency repair points and states, thus improving the serve quantity and efficiency of emergency repair.
出处
《供用电》
2015年第8期31-36,共6页
Distribution & Utilization
关键词
配电网
故障抢修
驻点优化
大数据
distribution network
emergency repair
stagnation point optimization
big data
