CONTROL OF HVDC POWER SYSTEM USING ARTIFICIAL INTELLIGENCE
MOHAMMED MAHMOUD MOHAMMED AFIFI;
Abstract
High voltage direct current (HVDC) transmi ssion controllers may not be optimi zed for a wide range of operating conditions because they ex hi bit a fi xed gain structure.
A feasible altern ati ve proposed to overcome this li mitation is the use of an Artifi cial Neura l Networks (ANN) controller. This thesis describes an applicati on of ANN control technique in II V DC transm ission lin k for d ynamic performance improvement.
The proposed ANN utili zes the training data of the controllers optimal gains obtained from the time doma in simulation using the Pl fixed gai ns conventiona l controll er structure combined with gain scheduling technique for stead y state and fau l t conditions.
Two cases of disturbances are considered to evaluate the performance of the ANN, compared w ith the con ventional P I controller, in HVDC power control.
First is the small signal disturbance su ch as t he step change in t he cu rrent regula tor reference valu e and sudden load cha nge (increase or decrease). Second is the large signal disturbance such as three-phase short circuit at the genera tor bus bar.
The MATLAB and the NEURAL NETWORKS TOOLBOX software are used for conventional and ANN controller simul ation. The transient simulation results a re obtained and conclusi ons are drawn.
A feasible altern ati ve proposed to overcome this li mitation is the use of an Artifi cial Neura l Networks (ANN) controller. This thesis describes an applicati on of ANN control technique in II V DC transm ission lin k for d ynamic performance improvement.
The proposed ANN utili zes the training data of the controllers optimal gains obtained from the time doma in simulation using the Pl fixed gai ns conventiona l controll er structure combined with gain scheduling technique for stead y state and fau l t conditions.
Two cases of disturbances are considered to evaluate the performance of the ANN, compared w ith the con ventional P I controller, in HVDC power control.
First is the small signal disturbance su ch as t he step change in t he cu rrent regula tor reference valu e and sudden load cha nge (increase or decrease). Second is the large signal disturbance such as three-phase short circuit at the genera tor bus bar.
The MATLAB and the NEURAL NETWORKS TOOLBOX software are used for conventional and ANN controller simul ation. The transient simulation results a re obtained and conclusi ons are drawn.
Other data
| Title | CONTROL OF HVDC POWER SYSTEM USING ARTIFICIAL INTELLIGENCE | Other Titles | التحكم في نقل القدرة الكهربيائية عبر خطوط الجهد العالي المستمر باستخدام الذكاء الصناعي | Authors | MOHAMMED MAHMOUD MOHAMMED AFIFI | Keywords | Artifi cial Neural Networks (ANN), Traini ng Data, HVDC Transmi ssion, Gain Sched uling, and Con t rol Sensiti v it y Index. | Issue Date | 1999 |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| MOHAMMED MAHMOUD MOHAMMED AFIFI.pdf | 2.09 MB | Adobe PDF | View/Open |
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