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Creating, Validating, and Using Synthetic Power Flow Cases: A Statistical Approach to Power System Analysis

Abstract Synthetic power system test cases offer a wealth of new data for research and development purposes, as well as an avenue through which new kinds of analyses and questions can be examined. This work provides both a methodology for creating and validating synthetic test cases, as well as a few use-cases for how access to synthetic data enables otherwise impossible analysis.

First, the question of how synthetic cases may be generated in an automatic manner, and how synthetic samples should be validated to assess whether they are sufficiently ``real'' is considered. Transmission and distribution levels are treated separately, due to the different nature of the two systems. Distribution systems are constructed by sampling distributions ... (more)
Created Date 2019
Contributor Schweitzer, Eran (Author) / Scaglione, Anna (Advisor) / Hedman, Kory W (Committee member) / Overbye, Thomas J (Committee member) / Monti, Antonello (Committee member) / Sankar, Lalitha (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Energy / Optimzation / Power Flow / Power Systems / Statistical Distributions / Synthetic Test Cases / Transmission and Distribution
Type Doctoral Dissertation
Extent 198 pages
Language English
Note Doctoral Dissertation Electrical Engineering 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis