| Author: | Dong, Zixu |
| Title: | Design and analysis of permanent magnet generators with mechanical flux-weakening for VSCAV control in wind power generation |
| Advisors: | Niu, Shuangxia (EEE) |
| Degree: | M.Sc. |
| Year: | 2024 |
| Department: | Department of Electrical and Electronic Engineering |
| Pages: | iv, 67 pages : color illustrations |
| Language: | English |
| Abstract: | As the global demand for renewable energy continues to grow, wind energy, as a clean and renewable resource, has become increasingly significant in its development and utilization. Wind power generation is gradually emerging as a crucial component of the global energy transition. Permanent magnet generators (PMGs) hold an important position in the field of wind power generation due to their high efficiency, reliability, flexibility, and environmental friendliness. Furthermore, with ongoing advancements in technology, PMGs are expected to maintain a prominent role in the future wind power market. Variable speed constant amplitude voltage control is an important control method in wind power generation, ensuring that the output voltage of the electrical energy remains stable. This approach is particularly suitable for remote areas where grid connection may not be feasible. This dissertation primarily investigates the design and analysis of PMGs with mechanical flux-weakening for wind power generation. Four different generator configurations are proposed, all based on the same operating principle. The mechanical flux-weakening design, rooted in the principle of flux modulation, facilitates an increase in the generator's rotational speed and allows for enhanced control over the back electromotive force (EMF) output, thereby improving the reliability and efficiency of the machine. Additionally, the selection of specific working harmonics enables the achievement of back EMF output using only a single set of windings, which simplifies the manufacturing process and reduces production costs. The models discussed in this dissertation are simulated and analyzed using the finite element method (FEM) through MAXWELL software, with parameters optimized via a genetic algorithm. A detailed comparison and analysis of the output characteristics of the optimized model were conducted under both no-load and loaded conditions. This comprehensive evaluation allows for a better understanding of the performance improvements resulting from the optimization process, providing insights into the efficacy of the proposed designs in varying operational scenarios. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8487.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.71 MB | Adobe PDF | View/Open |
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