TY - GEN
T1 - Grid Frequency Estimation based on Extended Kalman Filter in Connected AC Microgrids
AU - Chamorro, Harold R.
AU - Guel-Cortez, Adrian Josue
AU - Africano, Yessica
AU - Jimenez, Fernando
AU - Tonkoski, Reinaldo
AU - Martinez, Wilmar
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/20
Y1 - 2021/6/20
N2 - 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.
AB - 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.
KW - Connected Microgrids
KW - Distributed Generation
KW - Extended Kalman Filter
KW - Frequency Control
UR - http://www.scopus.com/inward/record.url?scp=85118763690&partnerID=8YFLogxK
U2 - 10.1109/ISIE45552.2021.9576275
DO - 10.1109/ISIE45552.2021.9576275
M3 - Conference contribution
AN - SCOPUS:85118763690
T3 - IEEE International Symposium on Industrial Electronics
BT - Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics, ISIE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th IEEE International Symposium on Industrial Electronics, ISIE 2021
Y2 - 20 June 2021 through 23 June 2021
ER -