Summary
Renewable sources of energy gain more importance in the generation mix of power systems all over the world replacing conventional energy sources based on synchronous generators. Thus, the system inertia becomes an important parameter to monitor for the proper operation of emerging power systems. Online inertia estimation techniques involve clustering the nodes of the power system into several areas with similar behaviour in terms of grid frequency variability and determine inertia for those entire areas. Thus, choosing the right areas is very important in achieving the results.
Read more Read lessThis paper proposes a novel method for clustering the power system’s nodes into areas to be used for online inertia estimation. The novelty stays in the resetting of nodes classification every 15 minutes to reflect the dynamics of the power system, originating from both grid infrastructure changes and the energy mix in the system. In addition, we propose a method to forecast the repartition of nodes into areas of power system based on the distribution of results based on the measurement information available with high reporting rates at process level.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | C2_12605_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Serbia |
| Study committees | |
| File size | 731 KB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
OPREANU Radu - CNTEE Transelectrica SA, University POLITEHNICA of Bucharest, Faculty of Electrical Engineering Romania; PLĂMĂNESCU Radu - University POLITEHNICA of Bucharest, Faculty of Electrical Engineering Romania; ALBU Mihaela - University POLITEHNICA of Bucharest, Faculty of Electrical Engineering Romania
Keywords
Goodness of Fit, nodes clustering, PMU measurements, inertia estimation
