【摘 要】
:
随着智能变电站的应用和推广,变电站的二次电压/电流回路发生了改变.电子式互感器的实现、远端电气单元的二次输出并没有统一的规定,各厂家使用的原理、介质系数、二次输出光信号含义也都不尽相同,电子式互感器输出的光信号需要同步、系数转换等处理后才能输出统一的数据格式供变电站二次设备使用.因此,IEC标准定义了电子式互感器接口的重要组成部分——合并单元(Merging Unit,MU),并严格规范了它与保护
【机 构】
:
深圳供电规划设计院有限公司,深圳南山区粤海路7号变电室 518000
【出 处】
:
中国电力规划设计协会送变电设计技术交流会暨送变电专家委员会2017年工作会议
论文部分内容阅读
随着智能变电站的应用和推广,变电站的二次电压/电流回路发生了改变.电子式互感器的实现、远端电气单元的二次输出并没有统一的规定,各厂家使用的原理、介质系数、二次输出光信号含义也都不尽相同,电子式互感器输出的光信号需要同步、系数转换等处理后才能输出统一的数据格式供变电站二次设备使用.因此,IEC标准定义了电子式互感器接口的重要组成部分——合并单元(Merging Unit,MU),并严格规范了它与保护、测控等二次设备之间的接口方式,合并单元最开始就是针对这种数字化输出的电子式互感器而定义的.传统变电站中保护、测控等装置所需的电气量都通过本身的采样模块实现,而智能变电站通过合并单元集中完成传统变电站中保护、测控等装置的电气量采集,并通过标准通信接口发送给保护、测控、录波器等装置,实现数据的共享和数据来源的统一.本文分析了合并单元架构与接口,功能及原理,技术要求,并提出了主变间隔MU及智能终端的配置方案.
其他文献
Recently,image caption which aims to generate a textual description for an image automatically has attracted researchers from various fields.Encouraging performance has been achieved by applying deep
This paper puts forward theme analysis problem in order to automatically solve composition writing questions in Chinese college entrance examination.Theme analysis is to distillate the embedded se-man
One of the important works of Information Content Security is eval-uating the theme words of the text.Because of the variety of the Chinese ex-pression,especially of the abbreviation,the supervision o
Entity linking is a task of linking mentions in text to thecorresponding entities in a knowledge base.Recently,entity linking has received considerable attention and several online entity linking syst
Recently,many researchers have concentrated on using neu-ral networks to learn features for Distant Supervised Relation Extraction(DSRE).However,these approaches generally employ a softmax classi-fier
Recently,Chinese implicit discourse relation recognition has attracted more and more attention,since it is crucial to understand the Chinese discourse text.In this paper,we propose a novel memory augm
In this paper,we put forward UIDS,a new high-performing extensible framework for extractive MultiLingual Document Summariza-tion.Our approach looks on a document in a multilingual corpus as an item se
Named Entity Recognition(NER)is a tough task in Chi-nese social media due to a large portion of informal writings.Existing research uses only limited in-domain annotated data and achieves low performa
Word segmentation problem is widely solved as the sequence labeling problem.The traditional way to this kind of problem is ma-chine learning method like conditional random field with hand-crafted feat
Recently neural network models are widely applied in text-matchingtasks like community-based question answering(cQA).The strong generaliza-tion power of neural networks enables these methods to find t