Real Time Monitoring of Transient Stability Status ofIntegrated Hybrid Distributed Generation: A Comparison ofANN Approaches
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2018, Vol 13, Issue 3
Abstract
The analytical approach in transient stability assessment is inadequate to handle real time operation of power system due to the unavailability of accurate mathematical equations for most dynamic systems, and given the large volume of data required and requires long simulation time to assess the stability limits of the system. To cope with the shortcoming of the analytical approach, a computational intelligence method based on Artificial Neural Networks (ANNs) was developed in this paper to monitor transient stability status in real time when HDG is integrated into a multi-machine network. Five ANNs were used for the monitoring. Appropriate data related to the hybrid generation (i.e., Solar PV, wind generator, small hydropower) were generated using the analytical approach for the training and testing of the ANN models.
Authors and Affiliations
Paul Kehinde Olulope
Keywords
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- EP ID EP388785
- DOI 10.9790/1676-1303031725.
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