Distribution System Disturbance Analysis and Outage Management Using Hybrid Data-Driven and Physics-Based Approaches

Amir Gholami

doi:10.7273/000005198

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Distribution System Disturbance Analysis and Outage Management Using Hybrid Data-Driven and Physics-Based Approaches

Dissertation

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Distribution System Disturbance Analysis and Outage Management Using Hybrid Data-Driven and Physics-Based Approaches

Amir Gholami

Washington State University

Doctor of Philosophy (PhD), Washington State University

2022

DOI:

https://doi.org/10.7273/000005198

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Abstract

Machine Learning-based

Outage Management

Physics-based

Root Cause Analysis

Situational Wareness

Data Fusion

Securing cyber-power distribution systems (DS) against malicious events is critical with the integration of distributed energy resources (DERs), supporting automation and increasing vulnerabilities. Situational awareness utilizing power data (e.g., data from distribution phasor measurement units (D-PMUs)) and cyber data (e.g., network packets data) is the main focus of this dissertation by means of which, an opportunity for real-time monitoring and decision-making is provided. To further improve the DS’s reliable and resilient operation, in this Ph.D. work, the aim has been put towards the development of an automated tool consisting of multiple modules to precisely investigate any type of data anomalies, followed by root cause finding. For this purpose, a data aggregation scheme is developed to synchronize the resolution and time stamp of multiple metering sources throughout the DS, using an enhancement of the conventional Kalman Filter, named Ensemble Extended Kalman Filter (EEKF). EEKF is implemented as an automated module by exploiting the real-time measurements as well as deriving the system physics. Furthermore, this dissertation develops online cyber-physical event detection and classification as well as proposal of the novel Outage Root Cause Analysis (ORCA) system. Different sections of the work have been tested on IEEE and OPAL-RT test systems as well as real-filed measurements from installed actual hardwares.

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Title: Distribution System Disturbance Analysis and Outage Management Using Hybrid Data-Driven and Physics-Based Approaches
Creators: Amir Gholami
Contributors: Anurag K. Srivastava (Advisor)
Noel Schulz (Advisor)
Anamika Dubey (Committee Member)
Awarding Institution: Washington State University
Academic Unit: Electrical Engineering and Computer Science, School of
Theses and Dissertations: Doctor of Philosophy (PhD), Washington State University
Publisher: Washington State University
Number of pages: 186
Identifiers: 99901019941001842
Language: English
Resource Type: Dissertation