Overview

The electric power distribution system is facing a magnitude of challenges due to an increase in severe weather events leading to widespread network outages, coupled with the growing regulatory requirements for increased reliability and resilience, reduced carbon emissions, and growing distributed energy resources (DER) penetrations. The Fault Location Isolation and Service Restoration (FLISR) is one of the most critical applications currently being adopted by the majority of distribution companies and made available by most ADMS vendors to manage system outages [CIT1].

This report documents the restoration application developed by Washington State University (WSU) and demonstrate its functionality by integrating it with a standards-based open-source platform – GridAPPS-D, developed by the Pacific Northwest National Laboratory (PNNL).

Application Architecture

The proposed restoration application can be implemented in an advanced distribution management system (ADMS) as shown in Figure 1. Figure shows the overall architecture of a modern DMS with integration of several subsystems such as customer information system (CIS), geographical information system (GIS), interactive voice response (IVR), advanced metering infrastructure (AMI), SCADA and flowchart of the proposed DSR framework. Once a power outage happens, three specific tasks are performed in the DMS to restore the power to out-of-service area:

1. Information Collection: To monitor the power distribution system condition and gather resource information.

2. Information Processing: For system model identification and fault location.

3. Service Restoration: To find the candidate switch and generate DER control signals for circuit reconfiguration.

Figure 1: Architecture of a modern distribution management system and flowchart of the proposed restoration application.

Leveraging the GridAPPS-D Platform

The realization of an autonomous restoration application requires a measurement and control environment that provides post-fault situational awareness and the ability to remotely deploy the decisions for restoration. GridAPPS-D is an open-source, standards-based platform designed to support the development of advanced, data-driven distribution system operation and/or planning applications that take advantage of the data-rich environment expected in modernized electric power distribution systems with smart grid technologies.

Figure 2 shows a schematic for the interaction and communication among the distribution system operational sub-system for the proposed restoration application. The platform is typically integrated with other related data and decision-support systems/subsystems such as DERMS, SCADA, OMS, GIS, AMI, CIS to: a) monitor the distribution system conditions, b) obtain the DER availability and operating conditions, and c) for load estimation and control.

Figure 2: Integration of proposed application to the GridAPPS-D platform. GOSS/FNCS is the PNNL’s platform for data exchange among subsystems. GOSS: GridOPTICS Software System; FNCS: Framework for network simulation.

Definition of Terms

Fault - Opening of normally-closed switch in response to any abnormal operating condition on its downstream.

Platform - Refers to GridAPPS-D platform.

Simulation - A real world distribution system currently done by GridLAB-D

Simulator - In current release GridLAB-D serves as the simulator.

CPLEX - A commercial optimization software package for solving the large-scale optimization problem

GridLAB-D - GridLAB-D is a distribution level powerflow simulator. It acts as the real world distribution system in GridAPPS-D.

Power System Model - A modified IEEE 8500-node feeder is used as the test case

References

CIT1

A. Dubey, A. Bose, M. Liu and L. N. Ochoa, “Paving the Way for Advanced Distribution Management Systems Applications: Making the Most of Models and Data,” in IEEE Power and Energy Magazine, vol. 18, no. 1, pp. 63-75, Jan.-Feb. 2020

CIT2

S. Poudel, A. Dubey and K. P. Schneider, “A Generalized Framework for Service Restoration in a Resilient Power Distribution System,” Submitted to IEEE Systems Journal (Under Revision)

CIT3

S. Poudel and A. Dubey, “Critical Load Restoration Using Distributed Energy Resources for Resilient Power Distribution System,” in IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 52-63, Jan. 2019.

CIT4

S. Poudel, A. Dubey and A. Bose, “Risk-Based Probabilistic Quantification of Power Distribution System Operational Resilience,” in IEEE Systems Journal, doi: 10.1109/JSYST.2019.2940939.

CIT5

S. Poudel and A. Dubey, “A Graph-theoretic Framework for Electric Power Distribution System Service Restoration,” 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, 2018, pp. 1-5.

CIT6

S. Poudel, A. Dubey, P. Sharma, and K. P. Schneider, “A Standalone FLISR Application Using GridAPPS-D – Standards-Based Open-Source ADMS Platform,” in prep for IEEE Power and Energy Technology Systems Journal

CIT7

S. Poudel, A. Dubey, and A. Bose, “Probabilistic Quantification of Power Distribution System Operational Resilience,” 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, 2019, pp. 1-5

CIT8

S. Poudel, M. Mukherjee and A. Dubey, “Optimal Positioning of Mobile Emergency Resources for Resilient Restoration,” 2018 North American Power Symposium (NAPS), Fargo, ND, 2018, pp. 1-6.

CIT9

W. H. Kersting, “Radial distribution test feeders,” in 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194), 2001, pp. 908-912 vol.2.

CIT10

R. F. Arritt and R. C. Dugan, “The IEEE 8500-node test feeder,” in IEEE PES T&D 2010, pp. 1-6.

Contact Us

WSU team can be reached at shiva.poudel@wsu.edu or anamika.dubey@wsu.edu.

For more information about the lab, Click Here