Dissertation
CONTROL OF UNCERTAIN GRID-CONNECTED INVERTERS FOR RENEWABLE ENERGY APPLICATIONS
Doctor of Philosophy (PhD), Washington State University
01/2020
Handle:
https://hdl.handle.net/2376/108129
Abstract
Grid-connected voltage-sourced converters known as inverters are widely used to connect renewable energy resources to the power grid. The conventional analysis and control algorithm design methods of the inverters are based on their nominal parameters and operating conditions. Due to the stochastic nature of renewable energy resources such as photovoltaic (PV) units and wind turbines, their generated power is uncertain. Also, the connected load to the system may vary during the time. The system parameters such as inductances can have an error due to, e.g., aging, heat, and saturation, which should be considered in the system analysis and controller design.
This dissertation studies the system analysis and controller design for uncertain inverter-based renewable energy resources. In the grid-connected PV system application, an analytical method named reachability analysis is used to 1) study the transient behavior of the inverter current, 2) devise an improved current controller, and 3) compare the transient behavior of the inverter current with different controllers considering uncertain-but-bounded input power and inductance error. In the microgrid application, reachability analysis is performed to analyze the effectiveness of the droop control method in the existence of uncertainties. In the wind turbine application, a new washout filter-based controller is proposed to improve the transient and steady-state behavior of the system frequency during load variations. These three applications use an RL filter-based inverter to connect the renewable energy resources to the grid. This dissertation also studies and compares the transient behavior of an LCL filter-based inverter using three different active damping current controllers.
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Details
- Title
- CONTROL OF UNCERTAIN GRID-CONNECTED INVERTERS FOR RENEWABLE ENERGY APPLICATIONS
- Creators
- Parisa Mohammadalizadeh Shabestari
- Contributors
- Ali Mehrizi-Sani (Advisor)Noel Schulz (Committee Member)Anjan Bose (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
- 117
- Identifiers
- 99900581412101842
- Language
- English
- Resource Type
- Dissertation