TY - GEN
T1 - Coordinated PI-based frequency deviation control of isolated hybrid microgrid
T2 - 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022
AU - Nosrati, K.
AU - Tepljakov, A.
AU - Petlenkov, E.
AU - Levron, Y.
AU - Skiparev, V.
AU - Belikov, J.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Numerous remote area applications welcome standalone renewable energy power generation systems or isolated microgrids (MGs). Due to the nature of solar and wind energy, the frequency deviation control (FDC) in hybrid MGs has become more complicated and critical than the conventional grid for power quality purposes. By using a coordination control strategy between a double-layered capacitor and a fuel cell, our mission here is to design a FDC system based on the PI controller which is tuned by an artificial neural network (ANN) in a multi-agent structure. To achieve this aim, a reinforcement learning technique is applied to train the ANN-based tuners. The performance of the proposed FDC system has been verified under different conditions by using real data to demonstrate the stability and robustness of the proposed controller.
AB - Numerous remote area applications welcome standalone renewable energy power generation systems or isolated microgrids (MGs). Due to the nature of solar and wind energy, the frequency deviation control (FDC) in hybrid MGs has become more complicated and critical than the conventional grid for power quality purposes. By using a coordination control strategy between a double-layered capacitor and a fuel cell, our mission here is to design a FDC system based on the PI controller which is tuned by an artificial neural network (ANN) in a multi-agent structure. To achieve this aim, a reinforcement learning technique is applied to train the ANN-based tuners. The performance of the proposed FDC system has been verified under different conditions by using real data to demonstrate the stability and robustness of the proposed controller.
KW - frequency deviation control
KW - Microgrid
KW - multi-agent
KW - neural networks
KW - reinforcement learning
UR - http://www.scopus.com/inward/record.url?scp=85143841895&partnerID=8YFLogxK
U2 - 10.1109/ISGT-Europe54678.2022.9960311
DO - 10.1109/ISGT-Europe54678.2022.9960311
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85143841895
T3 - IEEE PES Innovative Smart Grid Technologies Conference Europe
BT - Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022
Y2 - 10 October 2022 through 12 October 2022
ER -
