摘要
针对传统的电力用户用电采集系统在运维方面存在采集信息量少以及耗时长等问题,提出了一种基于数据驱动的电力用户用电采集系统优化运维技术。分析了电力用户用电采集系统中的基本组成和架构,并根据用电采集系统的实时/历史数据库构建了采集系统运维方案;结合不同区域电网的运维周期和电网安全要求,提出了用电采集系统的优化运维模型,并采用粒子群算法进行了优化求解;最后通过实际测试验证了所提方法的可行性和有效性。
Aiming at the problems of less information and long time-consuming in operation and maintenance of electricity acquisition system of traditional electric power users, a data-driven optimal operation and maintenance technology of electricity acquisition system of electric power users is proposed in this paper. Firstly, the basic composition and structure of electricity acquisition system of power users are analyzed, and the operation and maintenance scheme of the acquisition system is constructed based on the real-time/historical database of the power acquisition system. Then, according to the operation and maintenance cycle of different regional power grids and the security requirements of power grids, the optimal operation and maintenance model of the power acquisition system is proposed, and the particle swarm optimization algorithm is used to solve the problem. Finally, the feasibility and validity of the proposed method are verified by practical tests.
作者
薛良
郑天
郭雷
任伟
黄璐涵
曾翔君
Xue Liang;Zheng Tian;Guo Lei;Ren Wei;Huang Luhan;Zeng Xiangjun(Electric Power Research Institute of State Grid Shanxi Electric Power Company,Xi’an 710100,China;Integrated Electronic Systems Lab Co. ,Ltd. ,Ji’nan 250100,China;School of Electrical Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
出处
《电测与仪表》
北大核心
2019年第17期42-46,共5页
Electrical Measurement & Instrumentation
基金
国网陕西电科院计量中心2019年用电信息采集系统适应性升级改造项目-2017版标设修订及适应性改造项目(FWZ-ZB-GWSNDL19-02)
关键词
电力用户
用电采集
运维
数据驱动
粒子群
power users
electricity acquisition
operation and maintenance
data drive
particle swarm
