Application of Fuzzy Modeling to Stabilizer Design for Power System with Wind Generation

• Main Authors: Chiu, Ting-Yi, 丘婷伊
• Other Authors: Huang, Pei-Hwa
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/44239740053003827721

碩士 === 國立臺灣海洋大學 === 電機工程學系 === 105 === The main purpose of this thesis is to apply the method of fuzzy inference to the design of stabilizer for power system with wind generation. The design of power system stabilizer is based on the Sugeno type fuzzy model. The training data set is taken from the dynamic response of the conventional power system stabilizer under system faulted conditions. A power system with a wind turbine and a diesel generator is chosen as the study system. The system responses due to major faults and variety of wind speed are analyzed. The results show that the proposed fuzzy stabilizer can improve the system dynamic characteristics and thus enhance the system stability.