Two-level Power System Stabilizer Design via Genetic Algorithm and Sliding Mode Control

• Main Authors: Lee Ju-Lin, 李儒霖
• Other Authors: Huang Tsong-Liang
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/33825063969391375443

碩士 === 淡江大學 === 電機工程學系碩士在職專班 === 91 === This thesis proposes a new approach for genetic algorithm and sliding mode control to design the power system stabilizers (PSS). The design of a PSS can be formulated as an optimal linear regulator control problem. However, implementing this technique requires the design of estimators. This increases the implementation and reduces the reliability of control system. These reasons, therefore, favor a control scheme that uses only output state variables, such as torque angle and speed. To deal with this problem, we use the optimal reduced order models to reduce the power system model into two state variables system for each generator. We use the genetic algorithm to find the switching surface vector and switching control signals and use the sliding mode control to find the control signal of the generator. The advantages of the proposed method are illustrated by numerical simulation of the one machines -infinite-bus power systems and two machines-infinite-bus power systems.