Graduation Semester and Year
2008
Language
English
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Electrical Engineering
First Advisor
Wei-Jen Lee
Abstract
With the advance in wind turbine technologies, the cost of wind energy becomes competitive with other fuel-based generation resources. Due to the price hike of the fossil fuel and the concern of the global warming, the development of wind power has rapidly progressed over the last decade. The annual growth rate of the wind generation installation has exceeded 26% since 1990s. Many countries have set goal for high penetration levels of wind generations. Recently, several large-scale wind generation projects have been implemented all over the world. It is economically beneficial to integrate very large amounts of wind capacity in power systems. Unlike other traditional generation facilities, using wind turbines present technical challenges in producing continuous and controllable electric power. The distinct feature of the wind energy is its nature of "intermittent". Since it is difficult to predict and control the output of the wind generation, its potential impacts on the electric grid are different from the traditional energy sources. At high penetration level, an extra fast response reserve capacity is needed to cover shortfall of generation when a sudden deficit of wind takes place. However, this requires capital investment and infrastructure improvement. To enable a proper management of the uncertainty, this study presents an approach to make wind power become a more reliable source on both energy and capacity by using energy storage devices. Combining the wind power generation system with energy storage will reduce fluctuation of wind power. Since it requires capital investment for the storage system, it is important to estimate reasonable storage capacities for desired applications. In addition, energy storage application for reducing the output variation and improving the dynamic stability during the gust wind and severe fault are also studied.
Disciplines
Electrical and Computer Engineering | Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Lu, Ming-Shun, "Combining The Wind Power Generation System With Energy Storage Equipments" (2008). Electrical Engineering Theses. 293.
https://mavmatrix.uta.edu/electricaleng_theses/293
Comments
Degree granted by The University of Texas at Arlington