Dissertation
Power Electronics Converters for Renewable Applications under Sensor Malfunctions and Cyber Threats
Doctor of Philosophy (PhD), Washington State University
01/2020
Handle:
https://hdl.handle.net/2376/111547
Abstract
This thesis aims at increasing the reliability of power electronics converters that are used with renewable energy sources. With the move of the modern power grid towards connectivity and distributed energy resources, the need for more reliable power electronics is increased. The increased connectivity of the distributed energy resources to communication networks urges the system to have cyber threat protections. This thesis performs a cyber security risk assessment on photovoltaic systems that have communication network connection. This assessment is based on a developed cyber-physical model. The increased integration level of renewables requires the use of converters with higher voltage and current capabilities. Thus, multilevel converters, such as cascaded H-bridge, are used. Cascaded H-bridge-based converters have several advantages including modularity, isolated DC-side voltage, and improved output voltage quality. These multilevel converters are increasingly used in photovoltaic systems. With the number of H-bridge submodules and sensors increased due to the cascaded topology, the converter becomes more prone to sensor malfunctions. This thesis proposes a method to make a cascaded H-bridge-based photovoltaic converter resilient to sensor malfunctions using a real-time state estimation-based malfunction detection algorithm. The proposed algorithm has the potential to reduce costs related to hardware, software, protection, and cyber security by making the system more resilient to sensor malfunctions. The proposed method is validated using simulation studies in MATLAB/SIMULINK and experimental studies on a test system. It is shown that a nine-level cascaded H-bridge-based photovoltaic system can operate normally even when one sensor measurement is missing.
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Details
- Title
- Power Electronics Converters for Renewable Applications under Sensor Malfunctions and Cyber Threats
- Creators
- Armin Teymouri
- Contributors
- Ali Mehrizi-Sani (Advisor)Anurag Srivastava (Committee Member)Adam Hahn (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
- Number of pages
- 99
- Identifiers
- 99900581811301842
- Language
- English
- Resource Type
- Dissertation