Dingo: Digital Assistant to Grid Operators for Resilience Management of Power Distribution System

23 Pages Posted: 2 Dec 2021

See all articles by Sanjeev Pannala

Sanjeev Pannala

Washington State University

Anurag K. Srivastava

West Virginia University

Gowtham Kandaperumal

ComEd-An Exelon Company

Sajan K. Sadanandan

West Virginia University

Abstract

With increasing adverse weather events and disasters, enabling resiliency of the power distribution system (PDS) is becoming increasingly important. In this work, resiliency is defined as the system’s ability to keep supplying critical loads even with multiple contingencies. Resiliency may depend on: a) advanced tools to assist operators in situational awareness and decision making with the increasing volume of data generated by the PDS, b) visualization and ease of interaction with system resources and information, especially during extreme events and resulting human operator stress, and c) flexible resources and autonomous control. Operators and support engineers need to interact with the system for key information and take action under stress, given the requirement for decision in a short time. Integrated technological solutions are prevailing steps to support most appropriate decision during the critical times to serve essential loads. In order to meet the required goals, A Real-time Resiliency Monitoring and Operational Decision Support (RT-RMOD) tool is developed. It supports various functionalities starting from real-time monitoring, resilience assessment, and proactive decision support. However, this work makes advanced feature additions to the tool by developing data-enabled resilience management

Keywords: Distribution networks, Data-driven modeling, NLP, Outage detection, restoration, Resiliency

Suggested Citation

Pannala, Sanjeev and Srivastava, Anurag K. and Kandaperumal, Gowtham and Sadanandan, Sajan K., Dingo: Digital Assistant to Grid Operators for Resilience Management of Power Distribution System. Available at SSRN: https://ssrn.com/abstract=3975977 or http://dx.doi.org/10.2139/ssrn.3975977

Sanjeev Pannala

Washington State University ( email )

Wilson Rd.
College of Business
Pullman, WA 99164
United States

Anurag K. Srivastava (Contact Author)

West Virginia University ( email )

PO Box 6025
Morgantown, WV 26506
United States

Gowtham Kandaperumal

ComEd-An Exelon Company ( email )

IL
United States

Sajan K. Sadanandan

West Virginia University ( email )

PO Box 6025
Morgantown, WV 26506
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
51
Abstract Views
1,054
Rank
712,810
PlumX Metrics