Udupa, Narendranath A and Purushothama, GK and Parthasarathy, AK and Thukaram, D (2002) An ANN based approach for voltage stability assessment. In: Journal of the Institution of Engineers (India): Electrical Engineering Division, 83 . pp. 33-43.Full text not available from this repository.
Artificial Neural Networks (ANNs) have recently been proposed as an alterative method for salving certain traditional problems in power systems where conventional techniques have not achieved the desired speed, accuracy or efficiency. This paper presents application of ANN where the aim is to achieve fast voltage stability margin assessment of power network in an energy control centre (ECC), with reduced number of appropriate inputs. L-index has been used for assessing voltage stability margin. Investigations are carried out on the influence of information encompassed in input vector and target out put vector, on the learning time and test performance of multi layer perceptron (MLP) based ANN model. LP based algorithm for voltage stability improvement, is used for generating meaningful training patterns in the normal operating range of the system. From the generated set of training patterns, appropriate training patterns are selected based on statistical correlation process, sensitivity matrix approach, contingency ranking approach and concentric relaxation method. Simulation results on a 24 bus EHV system, 30 bus modified IEEE system, and a 82 bus Indian power network are presented for illustration purposes.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to Institution of Engineers.|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||12 Apr 2012 06:15|
|Last Modified:||12 Apr 2012 06:15|
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