Power System Stabilizer Design Using Fuzzy Paced Grey Predicting Method

• Main Authors: Yu-Yu Chen, 陳昱宇
• Other Authors: Tsong-Liang Huang
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/79170919177339143470

碩士 === 國立臺北教育大學 === 資訊科學系碩士班 === 101 === In power system, the degree of low frequency oscillation and damping ratio of the system are the most important factors influencing the electro-mechanical output quality. Hence, the improvement of the damping ratio will be the index of the power system stabilizer design. Based on the eigenstructure assignment and grey predicting methods, a new approach to design the decentralized power system stabilizers is proposed. To retain the physical meaning and effectiveness of the output variables, the optimal reduced model is used. We reduce the power system model into state variables of each generator. By using the output states feedback, a new method of designing optimal decentralized is also introduced. The fuzzy grey predicting method will be adapted to the forecast the information of the output state variables to control power system behavior. The oscillation of the system will be reduced and the dynamic stability of the power system is also enhanced.