TY - JOUR
T1 - Carbon-Oriented Planning of Distributed Generation and Energy Storage Assets in Power Distribution Network With Hydrogen-Based Microgrids
AU - Gu, Chenjia
AU - Liu, Yikui
AU - Wang, Jianxue
AU - Li, Qingtao
AU - Wu, Lei
N1 - Publisher Copyright:
© 2010-2012 IEEE.
PY - 2023/4/1
Y1 - 2023/4/1
N2 - The pressure of climate change has been driving the transition of power distribution networks (PDNs) to low-carbon energy systems. Hydrogen-based microgrids (HMGs), as emerging urban energy subsystems in PDNs with significant carbon emissions reduction potentials, are valuable assets in smoothing the economic transition to low-carbon energy systems. However, it remains a challenging issue to make the HMGs perceive their carbon emissions in the planning and operation process, so that they can effectively change energy consumption patterns to reduce carbon emissions. To achieve the overall carbon emission reduction target, a carbon-oriented planning method for PDN and HMGs is proposed. Firstly, an integrated planning model of distributed generation and energy storage assets is formulated with embedded carbon emission constraints. Secondly, a chronological carbon emission flow model for electrical storage systems is introduced to accurately capture its impact on the chronological carbon emission flow distribution, which is incorporated into the planning problem to quantify carbon emissions of different HMGs. Finally, the proposed planning problem is formulated as a mixed-integer nonconvex quadratically constrained programming (MINCQCP) problem, and solved by the tailored penalty-based proximal distance algorithm to derive the local optimum. Numerical results indicate that integrated planning of PDN and HMGs could avoid overinvestment and meet the given carbon emission target in a cost-effective way.
AB - The pressure of climate change has been driving the transition of power distribution networks (PDNs) to low-carbon energy systems. Hydrogen-based microgrids (HMGs), as emerging urban energy subsystems in PDNs with significant carbon emissions reduction potentials, are valuable assets in smoothing the economic transition to low-carbon energy systems. However, it remains a challenging issue to make the HMGs perceive their carbon emissions in the planning and operation process, so that they can effectively change energy consumption patterns to reduce carbon emissions. To achieve the overall carbon emission reduction target, a carbon-oriented planning method for PDN and HMGs is proposed. Firstly, an integrated planning model of distributed generation and energy storage assets is formulated with embedded carbon emission constraints. Secondly, a chronological carbon emission flow model for electrical storage systems is introduced to accurately capture its impact on the chronological carbon emission flow distribution, which is incorporated into the planning problem to quantify carbon emissions of different HMGs. Finally, the proposed planning problem is formulated as a mixed-integer nonconvex quadratically constrained programming (MINCQCP) problem, and solved by the tailored penalty-based proximal distance algorithm to derive the local optimum. Numerical results indicate that integrated planning of PDN and HMGs could avoid overinvestment and meet the given carbon emission target in a cost-effective way.
KW - Carbon-oriented planning
KW - energy storage system
KW - hydrogen-based microgrid
KW - proximal distance algorithm
UR - http://www.scopus.com/inward/record.url?scp=85144039227&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85144039227&partnerID=8YFLogxK
U2 - 10.1109/TSTE.2022.3225314
DO - 10.1109/TSTE.2022.3225314
M3 - Article
AN - SCOPUS:85144039227
SN - 1949-3029
VL - 14
SP - 790
EP - 802
JO - IEEE Transactions on Sustainable Energy
JF - IEEE Transactions on Sustainable Energy
IS - 2
ER -