Data-driven distributed analytics and control platform for smart grid situational awareness

Christopher S. Saunders; Guangyi Liu; Yang Yu; Wendong Zhu

doi:10.17775/CSEEJPES.2016.00035

欢迎来到能源电力期刊网！

English Version 读者登录期刊登录

您当前的位置：

首页 >

文章列表页 >

Data-driven distributed analytics and control platform for smart grid situational awareness

更新时间：2025-12-18

- Data-driven distributed analytics and control platform for smart grid situational awareness
- Data-driven distributed analytics and control platform for smart grid situational awareness
- 中国电机工程学会电力与能源系统学报(英文) 2016年2卷第3期页码：51-58
- 作者机构：
  
  1. Global Energy Interconnection Research Institute, North America, Santa Clara,CA,USA,95054
  2. Stanford University, Stanford,CA,US
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2016.00035
  中图分类号：
- 纸质出版：2016
- 稿件说明：
移动端阅览
Christopher S. Saunders, Guangyi Liu, Yang Yu, 等. Data-driven distributed analytics and control platform for smart grid situational awareness[J]. 中国电机工程学会电力与能源系统学报(英文), 2016,2(3):51-58.

Christopher S. Saunders, Guangyi Liu, Yang Yu, et al. Data-driven distributed analytics and control platform for smart grid situational awareness[J]. CSEE Journal of Power and Energy Systems, 2016, 2(3): 51-58.
Christopher S. Saunders, Guangyi Liu, Yang Yu, 等. Data-driven distributed analytics and control platform for smart grid situational awareness[J]. 中国电机工程学会电力与能源系统学报(英文), 2016,2(3):51-58. DOI： 10.17775/CSEEJPES.2016.00035.

Christopher S. Saunders, Guangyi Liu, Yang Yu, et al. Data-driven distributed analytics and control platform for smart grid situational awareness[J]. CSEE Journal of Power and Energy Systems, 2016, 2(3): 51-58. DOI： 10.17775/CSEEJPES.2016.00035.

摘要

Abstract

A conceptual

data-driven framework for organizing the data analytics and control functions in an electrical distribution network is proposed in this paper. The framework is built such that it tightly corresponds to the naturally existing physical hierarchy of typical radial distribution networks

allowing for an organized and highly-localized set of data storage and analytics processes

which in turn correspond well to likely control commands. By utilizing this structure

the computational entities in the framework are endowed with persistent local situational awareness. However

the framework also permits

through a series of tiered communications

the operation of a centralized authority for overall system observability and controllability.

关键词

Keywords

references

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

Transfer Strategy for Power Output Estimation of Wind Farm at Planning Stage Based on a SVR Model

Performance modeling for data monitoring services in smart grid: A network calculus based approach

Learning-based data analytics: Moving towards transparent power grids

Ex-Ante and Ex-Post Decomposition Strategy for Ultra-Short-Term Wind Power Prediction

High-Quality Sample Generation for Power System Transient Stability Assessment Based on Data-Driven Methods