TY - GEN
T1 - Economic frequency regulation based on nanogrid partition and cost-driven droop function
T2 - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020
AU - Hu, Qian
AU - Bu, Siqi
N1 - Publisher Copyright:
© 2020 IEEE
PY - 2020/11
Y1 - 2020/11
N2 - With the increase of the number and geographic dispersion of distributed energy resources (DERs), the microgrid (MG) has become scattered along with the higher complexity of control and communication. This paper proposes a two-level regulation strategy to achieve the local objective of frequency regulation and power sharing as well as the global objective of economic operation in the real time for the scattered MG. Firstly, the MG integrated with multiple DERs is partitioned into several nanogrids (NGs) such that DERs connecting on the same feeder are grouped in the same NG for the efficient and cost-effective communication and control. Then in the NG level, the total power mismatch of the entire MG can be learned and an optimal incremental cost can be agreed by each NG through the fastest distributed linear averaging (FDLA) and discrete-consensus algorithm, respectively. In the DER level, a cost-driven droop gain is developed to indicate the willingness of each DER in the NG to participate into the frequency regulation service. The pinning-based protocol is formulated to regulate the frequency and meanwhile enable the proportional power sharing among DERs based on the economic droop function. Case studies satisfactorily demonstrate the effectiveness of the proposed regulation strategy for the economic frequency regulation in the tested MG.
AB - With the increase of the number and geographic dispersion of distributed energy resources (DERs), the microgrid (MG) has become scattered along with the higher complexity of control and communication. This paper proposes a two-level regulation strategy to achieve the local objective of frequency regulation and power sharing as well as the global objective of economic operation in the real time for the scattered MG. Firstly, the MG integrated with multiple DERs is partitioned into several nanogrids (NGs) such that DERs connecting on the same feeder are grouped in the same NG for the efficient and cost-effective communication and control. Then in the NG level, the total power mismatch of the entire MG can be learned and an optimal incremental cost can be agreed by each NG through the fastest distributed linear averaging (FDLA) and discrete-consensus algorithm, respectively. In the DER level, a cost-driven droop gain is developed to indicate the willingness of each DER in the NG to participate into the frequency regulation service. The pinning-based protocol is formulated to regulate the frequency and meanwhile enable the proportional power sharing among DERs based on the economic droop function. Case studies satisfactorily demonstrate the effectiveness of the proposed regulation strategy for the economic frequency regulation in the tested MG.
KW - Ancillary service participation factor
KW - Discrete-consensus
KW - Economic frequency regulation
KW - Fastest distributed linear averaging (FDLA)
KW - Nanogird
KW - Pinning control
UR - http://www.scopus.com/inward/record.url?scp=85102770366&partnerID=8YFLogxK
U2 - 10.1109/SGES51519.2020.00063
DO - 10.1109/SGES51519.2020.00063
M3 - Conference article published in proceeding or book
AN - SCOPUS:85102770366
T3 - Proceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020
SP - 320
EP - 325
BT - Proceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 November 2020 through 26 November 2020
ER -