Dissertation
DATA-DRIVEN ALGORITHMS FOR DISTRIBUTION SYSTEM OPERATION AND CONTROL
Doctor of Philosophy (PhD), Washington State University
01/2019
Handle:
https://hdl.handle.net/2376/16802
Abstract
Transactive energy systems are emerging as a transformative solution for the problems that distribution system operators face due to an increase in the use of distributed energy resources and rapid growth in the scalability of managing active distribution system. To meet the reliability, sustainability and security requirements, efficient management and control of distributed generators, energy storage systems, and demand response is necessary to provide services such as reactive power compensation, voltage control, energy balancing, peak load reduction. These edge resources can also be used for system restoration after the extreme events and enabling resiliency of the electric grid. While there are numbers of related resources focused on solving these problems, availability of additional data resources has not been utilized to its potential to enable the reliable, sustainable and resilient electric grid. In order to address these challenges, data-driven algorithms have been proposed in this dissertation to utilize those new data to effectively monitor and control the energy storage system, distributed energy systems, and demand response.
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Details
- Title
- DATA-DRIVEN ALGORITHMS FOR DISTRIBUTION SYSTEM OPERATION AND CONTROL
- Creators
- Yue Zhang
- Contributors
- Anurag Srivastava (Advisor)Anjan Bose (Committee Member)Yinghui Wu (Committee Member)Diane Cook (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Electrical Engineering and Computer Science
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Number of pages
- 150
- Identifiers
- 99900581416701842
- Language
- English
- Resource Type
- Dissertation