Grid Edge Analytics Platform with AMI Data

被引：0

作者：

Ashok, Kavya ^{[1
]}

Divan, Deepak ^{[1
]}

Lambert, Frank ^{[2
]}

机构：

[1] Georgia Inst Technol, Atlanta, GA 30332 USA

[2] NEETRAC, Atlanta, GA USA

来源：

2018 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT) | 2018年

关键词：

advanced metering infrastructure (AMI); secondary circuit topology; impedance estimation; voltage correlation; IDENTIFICATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Big data with advanced data analytics in power distribution systems is a cornerstone of the smart grid development. It allows utilities to monitor and model their network in different ways. This paper explores distribution network secondary circuit topology and parameter estimation algorithms including cable and transformer impedance using data from Advanced Metering Infrastructure systems. It also details the features of a PSCAD simulation platform to validate these algorithms.

引用

页数：5

共 7 条

[1]

Berrisford A.J., 2013, EL COMP ENG CCECE 20

[2]

Bhela S., 2017, IEEE T SMART GRID, VPP

[3]

Botev Viktor, 2016, BIG DAT BIG DAT 2016

[4] Smart Meter Data Analytics for Distribution Network Connectivity Verification [J].