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作 者:赵永生 秦浩 甘德志 曾议[2] 梅战旗 姜海辉 周永真[4] 杨睿 邓帅 ZHAO Yongsheng;QIN Hao;GAN Dezhi;ZENG Yi;MEI Zhanqi;JIANG Haihui;ZHOU Yongzhen;YANG Rui;DANG Shuai(State Grid Anhui Electric Power Co. , Ltd. , Hefei 230061 Anhui, China;Slate Grid Huainan Electric Power Sappig Company, Huainan 232001 Anhui, China;State Grid Bengbu Electric Power Sappig Company,Bengbu 233090 Anhui,China;NARI Technology Co. , Ltd. , Nanjing 210000 Jiangsu, China)
机构地区:[1]国网安徽省电力有限公司,安徽合肥230061 [2]国网淮南供电公司,安徽淮南232001 [3]国网蚌埠供电公司,安徽蚌埠233090 [4]国电南瑞科技股份有限公司,江苏南京210000
出 处:《电力大数据》2019年第3期19-24,共6页Power Systems and Big Data
摘 要:当前供电企业中压用户停电事件已实现从用电采集信息系统采集终端自动接入并推送到配电网供电可靠性管理系统,相比传统的手工录入,及时性和准确性有了较大的进步。然而,由于中压配电网设备规模大,涉及专业面广,数据传输链条长,可靠性中压停电事件的准确性、完整性依然受到多种因素限制,对供电可靠性指标统计分析及应用造成不利影响。文章基于配电网中压用户停电事件智能分析处理,通过对中压停电事件相关业务系统进行调研分析和数据交互设计,从中压用户停复电信号采集、处理、到自动推送至供电可靠性管理系统的全流程,运用大数据技术和动态配电网模型,实现用户采集终端停复电数据实时分析和停电事件智能补全增益,确保停电事件集成完整性、准确性有效提升。At present,the medium-voltage power-cut incidents of power supply enterprises have been automatically connected from the collection terminal of power consumption information system and pushed to the distribution network power supply reliability management system. Compared with the traditional manual input,the timeliness and accuracy have been greatly improved. However,due to the large scale of medium voltage distribution network equipment,involving a wide range of specialties,long data transmission chain,reliability,accuracy and integrity of medium voltage blackouts are still limited by many factors,which has a negative impact on the statistical analysis and application of power supply reliability indicators. Based on the intelligent analysis and processing of power cut events for medium voltage users in distribution network,this paper investigates and analyzes the relevant business systems of medium voltage power cut events and designs the data interaction. The whole process of collecting,processing and automatically pushing the interruption signals from medium voltage users to the power supply reliability management system is realized by using large data technology and dynamic distribution. The network model realizes the real-time analysis of power cut and restore data of user acquisition terminal and the intelligent complementary gain of power cut event,and ensures the integrity and accuracy of power cut event integration.
分 类 号:TM732[电气工程—电力系统及自动化]
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