CAJ | 학술논문

随着智能电网建设的实施和智能传感设备的大量安装使用，特别是高级量测体系(advanced metering infrastructure，AMI)的普及，电力公司获取了超大数量的数据，这些数据的综合利用将会给电力公司带来巨大的效益。因此，近两年各电力公司投入了大量资源进行数据分析方法的开发和应用，其中基于智能电表量测数据的AMI数据分析方法是业界关注的重点。该文首先介绍电力公司数据源及其特点，阐述数据分析的方法，包括其定义、分类等，并着重介绍电力行业目前的热点AMI数据分析方法及其应用情况，并通过2个已成功部署的数据分析元实例说明AMI数据分析方法为电力公司解决的实际问题。最后，对数据分析方法的未来发展进行展望。
수착지능전망건설적실시화지능전감설비적대량안장사용，특별시고급량측체계(advanced metering infrastructure，AMI)적보급，전력공사획취료초대수량적수거，저사수거적종합이용장회급전력공사대래거대적효익。인차，근량년각전력공사투입료대량자원진행수거분석방법적개발화응용，기중기우지능전표량측수거적AMI수거분석방법시업계관주적중점。해문수선개소전력공사수거원급기특점，천술수거분석적방법，포괄기정의、분류등，병착중개소전역행업목전적열점AMI수거분석방법급기응용정황，병통과2개이성공부서적수거분석원실례설명AMI수거분석방법위전력공사해결적실제문제。최후，대수거분석방법적미래발전진행전망。
With smart grid implementation and sensor installations, especially the advanced metering infrastructure (AMI) implementation, power utilities have gathered huge amount of measurement data. Effective leverage of the data will bring significant benefits to utilities. Therefore, utilities have been investing a lot on data analytics in recent years, especially AMI data analytics which is based on smart metering measurements. This paper introduced the data sources of utilities and their characteristics. It presented an overview of data analytics, including its definition, classifications, and so on. Emphasis was given to AMI data analytics whose implementation situation and strategy were described. Two practical AMI data analytics implemented in North America utilities were briefly introduced. Expectations for future development were also included.