碩士 / 國立中正大學 / 電機工程研究所 / 105 / With the development of renewable energy, the penetration of renewable energy in island power systems is increasing, which bring a huge challenge on frequency stability. This work develops an under-frequency preventive control strategy for offshore island power systems that are based on the prediction of possible system operating status for the next hour and the application of Artificial Neural Networks forecasting techniques to immediately adjust unit scheduling of the system. The developed preventive control system evaluates system flexibility based on a forecast of net load, and then the unit scheduling can be adjusted in advance; it also provides a low-frequency preventive control strategy to ensure stable system operation and to support a corrective process that involves starting one more generator, implementing a demand response, using energy storage systems, and implementing the economic dispatch strategy to reduce operating cost. Compared with the traditional economic dispatch or unit commitment, the proposed method can take into account both frequency stability and economical efficient of the island power system.
| Identifer | oai:union.ndltd.org:TW/104CCU00442103 |
| Date | January 2017 |
| Creators | YE, GUAN-TING, 葉冠廷 |
| Contributors | WU, YUAN-KANG, 吳元康 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | en_US |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 76 |
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