基于大数据分析的配网主动式运维研究
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摘要
大数据分析的配网主动式运维研究,在电网领域的发展中意义重大。配网主动式运维需要对运维的风险进行评估,评价配网运维的风险等级。利用大数据分析技术来实现配网的运行,设计配网的主动式运维平台,并对配网主动式运维数据进行分类,描述大数据分析的配网主动式运维功能模块,利用配网的比例系数建立配网运维模型,计算配网设备运维时的经济寿命和运维时的损耗等,并对配网负荷点可靠性指标进行评价,衡量配网负荷点的标准,实现大数据分析的配网主动式运维研究。实验结果表明,提出方法的配网主动式运维风险小,不仅具有可靠性,还具有较高的工作效率。
The research on active network operation and maintenance of big data analysis is of great significance in the development of power grids.The active network operation and maintenance of the distribution network needs to assess the risks of operation and maintenance and evaluate the risk level of operation and maintenance of the distribution network.The use of big data analysis technology to achieve distribution network operation,design active distribution network maintenance platform,classify active network operation and maintenance data distribution,analysis of active data operation and maintenance function module of large data analysis,use and match The scale factor of the network establishes the distribution network operation and maintenance model,calculates the economic life of the distribution network equipment during operation and maintenance,and the loss during operation and maintenance,evaluates the reliability index of the distribution network load point,and measures the standard of the distribution network load point.Research on Active Network Operation and Maintenance of Big Data Analysis.The experimental results show that the proposed method has a low risk of active network operation and maintenance,and not only has reliability,but also has high work efficiency.
The research on active network operation and maintenance of big data analysis is of great significance in the development of power grids.The active network operation and maintenance of the distribution network needs to assess the risks of operation and maintenance and evaluate the risk level of operation and maintenance of the distribution network.The use of big data analysis technology to achieve distribution network operation,design active distribution network maintenance platform,classify active network operation and maintenance data distribution,analysis of active data operation and maintenance function module of large data analysis,use and match The scale factor of the network establishes the distribution network operation and maintenance model,calculates the economic life of the distribution network equipment during operation and maintenance,and the loss during operation and maintenance,evaluates the reliability index of the distribution network load point,and measures the standard of the distribution network load point.Research on Active Network Operation and Maintenance of Big Data Analysis.The experimental results show that the proposed method has a low risk of active network operation and maintenance,and not only has reliability,but also has high work efficiency.
引文
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[4] 刘明顺,龙志君,赵立进,等.基于模糊推理的电网风险评估及线路重要度辨识[J].电力科学与技术学报,2017,32(3):131-138.
[5] 吴舜,张辉,邢宁哲,等.基于SDN的网络运维系统设计与开发[J].电信科学,2016,32(3):163-170.
[6] 史常凯,张波,盛万兴,等.配电网运维管控平台功能架构探讨[J].电网技术,2016,40(7):2206-2211.
[7] 温柏坚,苏扬,胡剑锋,等.核心业务一体化的电网智能调度支持平台架构设计[J].南方电网技术,2016,10(6):15-19.
[8] 张星海,贾志杰.四川电网建设运维面临的挑战和解决措施[J].高电压技术,2016,42(4):1091-1099.
[9] 闫龙川,张晓亮,杨猛,等.基于BP神经网络的信息系统故障自动恢复技术[J].中国电力,2017,50(8):146-149.
[10] 桂军国,王宇.集控站驾驶舱系统模块化架构中各功能单元的开发及运行研究[J].电网与清洁能源,2016,32(11):14-19.
[11] 王盼宝,王卫,孟尼娜,等.基于运行模式与运行指标综合评价的直流微电网优化配置[J].电网技术,2016,40(3):741-748.
[12] 陈连杰,韩冰,赵家庆,等.利用自动成图的配电网模型拓扑校核技术及实现[J].电力系统自动化,2017,41(2):160-164.
[13] 刘安灵,黄振刚,王朝霞.基于改进随机漂移粒子群算法的微电网优化运行[J].电子设计工程,2018,26(6):33-37.
[14] 王鹏.对电网企业信息系统运行方式模型的应用与分析[J].自动化与仪器仪表,2017,(6):157-159.
[15] 蔡志远,戈阳阳,李洋,等.多微电源混合系统在微电网中最优定位和规划研究[J].电机与控制学报,2017,21(5):42-50.