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

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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
- CSEE Journal of Power and Energy Systems Vol. 2, Issue 3, Pages: 51-58(2016)
- 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
  CLC：
- Published：2016
- 稿件说明：
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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：

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.

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