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Stability Analysis and Effect of CES on ANN Based AGC for Frequency Excursion
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 Title & Authors
Stability Analysis and Effect of CES on ANN Based AGC for Frequency Excursion
Raja, J.; Rajan, C.Christober Asir;
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 Abstract
This paper presents an application of layered Artificial Neural Network controller to study load frequency control problem in power system. The objective of control scheme guarantees that steady state error of frequencies and inadvertent interchange of tie-lines are maintained in a given tolerance limitation. The proposed controller has been designed for a two-area interconnected power system. Only one artificial neural network controller (ANN), which controls the inputs of each area in the power system together, is considered. In this study, back propagation-through time algorithm is used as neural network learning rule. The performance of the power system is simulated by using conventional integral controller and ANN controller, separately. For the first time comparative study has been carried out between SMES and CES unit, all of the areas are included with SMES and CES unit separately. By comparing the results for both cases, the performance of ANN controller with CES unit is found to be better than conventional controllers with SMES, CES and ANN with SMES.
 Keywords
Artificial Neural Network;Automatic Generation Control;Capacitive Energy Storage;Stability Analysis;Superconducting Magnetic Energy Storage;
 Language
English
 Cited by
1.
New Stability Criteria for Linear Systems with Interval Time-varying State Delays,;;

Journal of Electrical Engineering and Technology, 2011. vol.6. 5, pp.713-722 crossref(new window)
1.
New Stability Criteria for Linear Systems with Interval Time-varying State Delays, Journal of Electrical Engineering and Technology, 2011, 6, 5, 713  crossref(new windwow)
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