Harris hawks optimization for model order reduction of power system
| Autor: | Rudra Pratap Singh, Vivekananda Mukherjee, Ranadip Roy |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Model order reduction Electric power system Artificial Intelligence Control theory 0202 electrical engineering electronic engineering information engineering General Engineering 020206 networking & telecommunications 020201 artificial intelligence & image processing 02 engineering and technology Mathematics |
| Zdroj: | Journal of Intelligent & Fuzzy Systems. :1-17 |
| ISSN: | 1875-8967 1064-1246 |
| DOI: | 10.3233/jifs-211132 |
| Popis: | This paper aims to investigate the application of Harris hawks optimization (HHO) optimization for the solution of model order reduction (MOR) problem of power system application. The proposed approach is implemented to determine the reduced order equivalent model of large-scale power system model. The obligations encountered by the higher-scale model like stability, calculative effort and problem into local optima can be enhanced by this propounded methodology. These yielded reduced models have been tried in addition to the existing algorithms and the obtained results are contrasted considering various technical parameters to accomplish its effectiveness, reliability and robustness of the adopted strategy. Thus, superior performance of the proposed method is demonstrated. The validation of the methodology in terms of error index, time and frequency domain outputs, convergence curves with scalability of the approach are outlined in the investigation of the system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|