MICROGRID MONITORING METHOD FOR PREDICTING ENERGY ANOMALIES
The causes of excess and shortage of electrical energy in microgrid have been analyzed. The necessity of using intelligent energy management systems for smart grids with a large component of renewable energy sources is shown. An integral part of such control systems is a network monitoring method. B...
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| Datum: | 2025 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Institute of Renewable Energy National Academy of Sciences of Ukraine
2025
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| Schlagworte: | |
| Online Zugang: | https://ve.org.ua/index.php/journal/article/view/502 |
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| Назва журналу: | Vidnovluvana energetika |
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Vidnovluvana energetika| Zusammenfassung: | The causes of excess and shortage of electrical energy in microgrid have been analyzed. The necessity of using intelligent energy management systems for smart grids with a large component of renewable energy sources is shown. An integral part of such control systems is a network monitoring method. Based on the results of the analysis of methods for monitoring energy systems, a method for monitoring microgrids has been proposed, which allows predicting changes in flows filtering procedure integrated with the three-sigma rule. The modified filtering procedure allows real-time assessment and forecasting of the observed process, and the application of the three-sigma rule allows detection of its anomalies, since, as is known, with a normal distribution, almost all process values it a probability of 0.9973 lie no further than three sigma in either direction from the mathematical expectation. The use of this method makes it possible to formulate recommendations for managing the processes of optimal redistribution of energy flows in microsystems, to predict the risk of anomalies in energy changes in the power system. |
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