TY - JOUR
T1 - A Distributed and Robust Energy Management System for Networked Hybrid AC/DC Microgrids
AU - Xu, Qianwen
AU - Zhao, Tianyang
AU - Xu, Yan
AU - Xu, Zhao Z.
AU - Wang, Peng
AU - Blaabjerg, Frede
N1 - © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
PY - 2020/7
Y1 - 2020/7
N2 - Hybrid AC/DC microgrids (MGs) provide efficient integration of renewable sources into grids and the interconnection of multiple MGs can improve system reliability, efficiency and economy by energy sharing. In this paper, a distributed and robust energy management system is proposed for networked hybrid AC/DC MGs. For each individual MG, an adjustable robust optimization model is proposed to optimize its individual operational cost considering the uncertainty of the renewable generation and load demand. For the networked-MGs system, the energy sharing information of each MG is coordinated by the DC network to minimize the power transmission loss with network constraints. The overall optimization model is formulated, exactly convexified and solved in a distributed manner by the alternating direction method of multipliers (ADMM), where only limited information is required from each MG entity (i.e., the power injection to the network) and thus information privacy is guaranteed. Simulations of the networked hybrid AC/DC MGs are conducted to demonstrate the effectiveness of the proposed energy management system.
AB - Hybrid AC/DC microgrids (MGs) provide efficient integration of renewable sources into grids and the interconnection of multiple MGs can improve system reliability, efficiency and economy by energy sharing. In this paper, a distributed and robust energy management system is proposed for networked hybrid AC/DC MGs. For each individual MG, an adjustable robust optimization model is proposed to optimize its individual operational cost considering the uncertainty of the renewable generation and load demand. For the networked-MGs system, the energy sharing information of each MG is coordinated by the DC network to minimize the power transmission loss with network constraints. The overall optimization model is formulated, exactly convexified and solved in a distributed manner by the alternating direction method of multipliers (ADMM), where only limited information is required from each MG entity (i.e., the power injection to the network) and thus information privacy is guaranteed. Simulations of the networked hybrid AC/DC MGs are conducted to demonstrate the effectiveness of the proposed energy management system.
KW - Hybrid AC/DC microgrid
KW - networked microgrids
KW - energy management
KW - uncertainty
KW - distributed
UR - http://www.scopus.com/inward/record.url?scp=85077261489&partnerID=8YFLogxK
U2 - 10.1109/TSG.2019.2961737
DO - 10.1109/TSG.2019.2961737
M3 - Journal article
SN - 1949-3053
VL - 11
SP - 3496
EP - 3508
JO - I E E E Transactions on Smart Grid
JF - I E E E Transactions on Smart Grid
IS - 4
M1 - 8941067
ER -