Dissertation
Advanced Control Strategies for Renewable Energy Systems
Doctor of Philosophy (PhD), Washington State University
01/2019
Handle:
https://hdl.handle.net/2376/16767
Abstract
The renewable energy sector in the United States is continuously growing, and wind---an abundantly available source of renewable energy---plays a leading role in this transition. In the last decade, the installed global wind power capacity has increased exponentially. However, increasing the penetration of wind power in the power grid can adversely affect the power quality and introduce new operational challenges.
Subsynchronous resonance (SSR) induced by a wind turbine radially connected to the grid through a series-compensated transmission line is one of the major issues related to integration of wind energy. In SSR, two components of the system exchange energy at frequencies below the nominal frequency, which can damage the power system equipment. The conventional controllers of a wind turbine are expected to handle its normal operation. However, following a large disturbance (e.g., a fault in the system), the power system may tend toward instability.
This dissertation presents an adaptive supplementary controller based on the multiple-model adaptive control (MMAC) approach to mitigate SSR induced by a Type III wind system connected to a series-compensated transmission line. The proposed supplementary controller has two levels; the first level is a set of controllers designed using standard linear control methods, and the second level is a supervisory controller that selects the level-one controller based on the system conditions. A systematic approach is introduced for simultaneous coordination of parameters of the proposed supplementary controllers in a nonaggregated wind system.
In addition to the proposed controller for the wind systems, this dissertation presents an adaptive control strategy to improve the transient response of a stressed power system apparatus. This strategy, based on set point automatic adjustment with correction-enabled (SPAACE), is an auxiliary controller to enhance the set point tracking of a controllable apparatus. Adaptive SPAACE (ASPAACE) modifies the set point of the apparatus using a feedback signal from its output to mitigate transients that can be caused by events such as faults, load variations, and large set point changes. Several case studies are presented to demonstrate the superior ability of this strategy for mitigating transients in different scenarios compared to conventional PI-based control strategies.
Metrics
24 File views/ downloads
73 Record Views
Details
- Title
- Advanced Control Strategies for Renewable Energy Systems
- Creators
- Hooman Ghaffarzadeh
- Contributors
- Ali Mehrizi-Sani (Advisor)Anjan Bose (Committee Member)Anurag K. Srivastava (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
- 132
- Identifiers
- 99900581815901842
- Language
- English
- Resource Type
- Dissertation