Svc For Power System Dynamics Improvement Via Ann Controller

Faculty Engineering Year: 2004
Type of Publication: Theses Pages: 155
Authors:
BibID 10592437
Keywords : Electric Power    
Abstract:
- In some rarely conditions, there may be a suitable location for the SVC before adding the damping PI controller. The system might be stable but with low damping. Although, locating SVCs without the PI controller at other buses under the same conditions causes system instability. Moreover, the power system dynamics are greatly dependent upon SVC parameters beside the system operating conditions and load parameters. Hence, a careful choice of those parameters must be considered to achieve best relative stability.2- An extended eigen-analysis method have been proposed to detect the suitable location from the voltage control point of view for the damping PI-SVC controllers. The settling time and/or the maximum overshoot percentage can be used as a concept for the selection of effective SVC control feedback signal.3- Placement of the PI-SVC controller at generator buses is an effective means for improving the dynamic performance of the power system. But using a PI-PSS stabilizer is still preferable due to its lower cost option. In addition, locating the PI-SVC controller at load buses with the generators speed control feedback signals may improve the power system damping in some cases. But due to the excessive expenses to transmit the speed from the machine to the PI-SVC controller at the load buses as remote signals, that is outlooked. Furthermore, selecting the reactive power or the current flow as control feedaback signals at a suitable load bus location will lead to the desired damping.4- The gains of the conventional SVC controller should be computed for each operating condition separately. Because the controller gains that may be acceptable for certain operating condition may have negative effect on the system damping for other operating condition. Thus, ANN-RBF technique is proposed to adapt the PI-SVC stabilizer gains to enhance the power system damping over a wide range of typical load model parameters and/or load quantities. The proposed method was trained based on real-time measurements of load model parameters. RBF is of less computational time, less number of epochs and less error than MLP technique. Simulation results show that the proposed damping PI controller is an effective means for improving the dynamic performance of the power system in a single machine infinite bus system and multi-machine system. 
   
     
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  • HAITHAM SAAD MOHAMMED RAMADAN, "Svc For Power System Dynamics Improvement Via Ann Controller", Zagazig, 2004 More

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