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Fault Resilient Smart Power Distribution System3.24 MB
Embargoed Access, Embargo ends: 03/02/2026
Dissertation
Fault Resilient Smart Power Distribution System
Washington State University
Doctor of Philosophy (PhD), Washington State University
2023
DOI:
https://doi.org/10.7273/000006364
Abstract
This thesis presents novel approaches for fault location identification and post-fault reconfiguration in smart power distribution systems. The fault location identification methods are proposed in phasor domain and time domain and consider inverter-interfaced distributed generations (IIDGs). The proposed methods are not restricted to any type of data and can benefit from any type of available measurements in the distribution system including synchronized and unsynchronized measurements, active/reactive power data, and virtual measurements. These methods explicitly address data uncertainties and accommodates different load types. The proposed time domain fault location identification method is formulated based on differential equations of the system and accounts for the peculiarities of power distribution systems with distributed generations. It considers the presence of loads, multi-phase laterals and sub-laterals, heterogenous overhead and underground lines, and infeeds and remote-end fault current contributions of distributed generations. It implements a systematic approach to eliminate possible multiple fault location estimations to provide a single correct estimation of the actual location of the fault. Finally, an optimal post-fault reconfiguration method for active distribution systems, explicitly considering protection system constraints is proposed. Utilizing a generalized Benders decomposition algorithm, the method embeds the short-circuit program into the optimization problem. It effectively determines network topology and resolves power flow with protection system coordination constraints using second-order cone programming.
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Details
- Title
- Fault Resilient Smart Power Distribution System
- Creators
- Ali Shakeri Kahnamouei
- Contributors
- Saeed Lotfifard (Advisor)Anjan Bose (Committee Member)Vaithianath Venkatasubramanian (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
- Publisher
- Washington State University
- Number of pages
- 163
- Identifiers
- 99901087513901842
- Language
- English
- Resource Type
- Dissertation