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Articles

A robust neural network model for monitoring online voltage stability

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Pages 1103-1112 | Received 13 Jun 2019, Accepted 06 Sep 2019, Published online: 16 Sep 2019
 

Abstract

Incessant assessment of voltage stability is a lively aspect to safeguard the electrical power system (EPS) operation. The conservative methods for online assessment in terms of stability check for voltage are extremely time engrossing and also absurd for supervising any application online. In line to this, a Salp Swarm Algorithm-based artificial neural network (SSA–ANN) model is opted for online monitoring of voltage stability in this manuscript. Artificial neural network is an influential and promising predictive tool. To upsurge the efficacy and accuracy and minimalize the training time. SSA is used for tuning the metaparameters such as the activation functions and number of nodes along with the learning rate. The method anticipated for the aforesaid problem utilizes the magnitude of voltage and its corresponding phase angle which are attained from the PMU as the inputs to the neural network model and the output is the voltage stability margin index (VSMI). The efficiency of the proposed model is verified with ICA–ANN and GA–ANN underrobust test cases and compared with the same data set to attest its preeminence.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

A. Nageswara Rao

A. Nageswara Rao had Received B.Tech Degree in Electrical and Electronics Engineering and Masters in Power system automation and Control, from Jawaharlal Nehru Technological University 2011 and 2015. Currently he is pursuing his P.hD at VIT, Vellore. He has been in the teaching field for about 8 years and won several awards for teaching. His area of interest is online voltage stability monitoring, WAMS in Smart Grid.

P. Vijayapriya

Dr. P. Vijayapriya did her bachelor's degree in EEE at Vellore engineering college, Masters in power systems and Ph.D. in Renewable energy integration at VIT University in 2006 and 2014 respectively. She has been in the teaching field for about 17 years and won several awards for teaching and research. She has conducted many national and international workshops and conferences involving national and international participants. She has published many papers in various conferences and refereed journals.

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