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A Data-Driven Approach to Interactive Visualization of Power Grids

Award Information

Agency:
Department of Energy 		Branch:
N/A 		Award ID:
 Program Year/Program:
2011 / SBIR
Agency Tracking Number:
97763 		Solicitation Year:
2011 		Solicitation Topic Code:
41 d 		Solicitation Number:
DE-FOA-0000413
Small Business Information
Power Info Llc
18819 36th Dr SE Bothell, WA 98012-8843
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2011
Title: A Data-Driven Approach to Interactive Visualization of Power Grids
Agency: DOE
Contract: DE-FG02-11ER90014
Award Amount: $150,000.00
 

Abstract:

The emerging field of visual analytics, which integrates analytical reasoning with interactive visualization, appears to be a promising technique for improving the business practices in todays electric power industry. The conducted investigation has revealed that the existing commercial power grid visualization tools focus on displaying the data rather than providing users an interactive ability to facilitate information exploration. These tools, typically designed to support a particular type of applications, restrict the information exploration process to follow a limited number of pre-defined visualization patterns created by human designers, thus hindering users ability to discover. This project proposes a data-driven approach to interactive visualization of power grids. A data-driven visualization uses empirically or mathematically derived data to dynamically formulate the visualization. The approach relies on developing powerful data manipulation algorithms to create visualizations based on the characteristics of data. It will result in an interactive and user-driven visualization tool that fosters scientific understanding and insight, therefore unleashing the power of visualization. The proposed data-driven visualization approach, as demonstrated in the conducted preliminary investigation, has proven to be promising for building the next-generation power grid visualization tools. Application of this approach has resulted in a query-driven model exploratory tool currently being leveraged by utilities and vendors in the power industry. This project will focus on prototyping an event driven visualization tool designed to enhance situational awareness in a power grid control center environment. The goal is to assist grid operators to perceptually monitor a large number of events and timely present the analytical information that reduces cognitive demands on operators.

Principal Investigator:

Jun Zhu
Dr.
425-485-9230
junzhu@powerinfo.us

Business Contact:

Jun Zhu
Dr.
425-485-9230
junzhu@powerinfo.us
Small Business Information at Submission:

Power Info Llc
18819 36th Dr SE Bothell, WA 98012-8843

EIN/Tax ID: 266807945
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No