TY - GEN
T1 - Two-Layer Distributed Control for Optimal Power Allocation in Islanded Networked Microgrids
AU - Yao, Weitao
AU - Xu, Yan
AU - Wang, Yu
AU - Xu, Xu
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Multiple microgrids can be interconnected as networked microgrids (NMGs) to improve the system resilience and economics. A proper and flexible economic control scheme for NMG system is of significance. This paper proposes a two-layer distributed control strategy, consisting of the low-layer control and upper-layer control, to achieve real-time optimal power allocation and maintain frequency and voltage stability. The low-layer control autonomously achieves optimal power allocation among distributed generators (DGs), and each DG provides frequency and voltage support by eliminating the error with upper-layer references. The upper-layer control realizes system frequency restoration, voltage restoration of common bus and real-time optimal power allocation among MGs by designing the MG equivalent cost functions. The designed distributed control scheme avoids the heavy computation burden as compared with static power allocation methods and thus offers more reliability. Lastly, the effectiveness of the proposed control framework is verified by the time-domain test based on MATLAB/Simulink platform.
AB - Multiple microgrids can be interconnected as networked microgrids (NMGs) to improve the system resilience and economics. A proper and flexible economic control scheme for NMG system is of significance. This paper proposes a two-layer distributed control strategy, consisting of the low-layer control and upper-layer control, to achieve real-time optimal power allocation and maintain frequency and voltage stability. The low-layer control autonomously achieves optimal power allocation among distributed generators (DGs), and each DG provides frequency and voltage support by eliminating the error with upper-layer references. The upper-layer control realizes system frequency restoration, voltage restoration of common bus and real-time optimal power allocation among MGs by designing the MG equivalent cost functions. The designed distributed control scheme avoids the heavy computation burden as compared with static power allocation methods and thus offers more reliability. Lastly, the effectiveness of the proposed control framework is verified by the time-domain test based on MATLAB/Simulink platform.
KW - Distributed Control
KW - Economic Control
KW - Networked Microgrids
KW - Optimal Power Allocation
UR - http://www.scopus.com/inward/record.url?scp=85199021467&partnerID=8YFLogxK
U2 - 10.1109/IPEMC-ECCEAsia60879.2024.10567872
DO - 10.1109/IPEMC-ECCEAsia60879.2024.10567872
M3 - Conference Proceeding
AN - SCOPUS:85199021467
T3 - 2024 IEEE 10th International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia
SP - 2338
EP - 2343
BT - 2024 IEEE 10th International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia
Y2 - 17 May 2024 through 20 May 2024
ER -