Power System Dynamic Stabilizer Design Using Variable Structure Grey PID Control
碩士 === 淡江大學 === 電機工程學系 === 90 === This thesis proposes a new approach-Variable Structure Grey PID 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 es...
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ndltd-TW-090TKU004420352016-06-24T04:14:57Z http://ndltd.ncl.edu.tw/handle/44382328388447265477 Power System Dynamic Stabilizer Design Using Variable Structure Grey PID Control 可變結構灰色PID控制之電力系統穩定器設計 Chang Wei-Sheng 張偉聖 碩士 淡江大學 電機工程學系 90 This thesis proposes a new approach-Variable Structure Grey PID 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. That increases the implementation and reduces the reliability of control system. Therefore, favor a control scheme that uses only some desired state variables, such as torque angle and speed. To deal with this problem, we use the optimal reduced models to reduce the power system model into two state variables system by each generator and use Variable Structure Grey PID Control to find control signal of each generator. Moreover, we will apply Genetic Algorithms (GAs) to find the appropriate parameter values for the desired system. Finally, the advantages of the proposed method are illustrated by numerical simulation of the two machines-infinite-bus power systems. Huang Tsong-Liang 黃聰亮 2002 學位論文 ; thesis 80 zh-TW |
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碩士 === 淡江大學 === 電機工程學系 === 90 === This thesis proposes a new approach-Variable Structure Grey PID 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. That increases the implementation and reduces the reliability of control system. Therefore, favor a control scheme that uses only some desired state variables, such as torque angle and speed.
To deal with this problem, we use the optimal reduced models to reduce the power system model into two state variables system by each generator and use Variable Structure Grey PID Control to find control signal of each generator. Moreover, we will apply Genetic Algorithms (GAs) to find the appropriate parameter values for the desired system. Finally, the advantages of the proposed method are illustrated by numerical simulation of the two machines-infinite-bus power systems.
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Huang Tsong-Liang |
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Huang Tsong-Liang Chang Wei-Sheng 張偉聖 |
author |
Chang Wei-Sheng 張偉聖 |
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Chang Wei-Sheng 張偉聖 Power System Dynamic Stabilizer Design Using Variable Structure Grey PID Control |
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Chang Wei-Sheng |
title |
Power System Dynamic Stabilizer Design Using Variable Structure Grey PID Control |
title_short |
Power System Dynamic Stabilizer Design Using Variable Structure Grey PID Control |
title_full |
Power System Dynamic Stabilizer Design Using Variable Structure Grey PID Control |
title_fullStr |
Power System Dynamic Stabilizer Design Using Variable Structure Grey PID Control |
title_full_unstemmed |
Power System Dynamic Stabilizer Design Using Variable Structure Grey PID Control |
title_sort |
power system dynamic stabilizer design using variable structure grey pid control |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/44382328388447265477 |
work_keys_str_mv |
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