Abstract
The lack of rotational inertia requires fast action for frequency control, thus measurements delays can create instabilities or make the controller ineffective. This is a challenge for grid-connected Microgrids whose frequency requires to be adequately monitored and maintained under operationally margins. Generally, in a power system, the strongest generators are the ones capable of maintaining the frequency of the system, however, when having distributed resources it is harder to keep such frequency between a secure threshold. Therefore, estimating frequency values in a short period of time becomes a helpful feature in this new structure of power systems. This work discusses the Extended Kalman Filter (EKF) application for grid frequency estimation in AC connected microgrids by using a simple second order model. Furthermore, the EKF is used for forecasting the nadir according to the sample time variation. A microgrid benchmark is developed and tested under several load scenarios to test the frequency estimation process.
Original language | English |
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Title of host publication | 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 978-1-7281-9023-5 |
DOIs | |
Publication status | Published - 13 Nov 2021 |
Event | IEEE 30th International Symposium on Industrial Electronics (ISIE) - Online Duration: 20 Jun 2021 → 23 Jun 2021 Conference number: 30 https://www.isie2021.org/ |
Publication series
Name | |
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ISSN (Electronic) | 2163-5145 |
Conference
Conference | IEEE 30th International Symposium on Industrial Electronics (ISIE) |
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Period | 20/06/21 → 23/06/21 |
Internet address |
Keywords
- Connected Microgrids
- Distributed Generation
- Extended Kalman Filter
- Frequency Control
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering