TY - JOUR
T1 - Resilient co-expansion planning between gas and electric distribution networks against natural disasters
AU - Zou, Bo
AU - Wang, Cheng
AU - Zhou, Ying
AU - Wang, Jianhui
AU - Chen, Chen
AU - Wen, Fushuan
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2020.
PY - 2020/9/4
Y1 - 2020/9/4
N2 - Resiliently designed and constructed integrated gas-electric distribution networks (GEDNs) against natural disasters are crucial to social welfare. In this study, a two-stage robust optimisation-based co-expansion planning model is proposed to attain an integrated GEDN with a given resilience level, by optimising the investment strategies of hardening and selective expansion of power distribution feeders and natural gas pipelines, as well as the location and capacity of natural-gas-fired distributed generation. In the first stage, the overall annual investment and operation cost is minimised under normal operation conditions while in the second stage, the feasibility of the investment decisions under the identified worst-case natural disaster scenario is checked with an adjustable load shedding cost criterion. The proposed model is formulated as a mixed integer second-order cone programming problem with the column and constraint generation algorithm employed to seek the optimal solution. Case studies on two integrated GEDNs demonstrate the performance of the proposed methodology.
AB - Resiliently designed and constructed integrated gas-electric distribution networks (GEDNs) against natural disasters are crucial to social welfare. In this study, a two-stage robust optimisation-based co-expansion planning model is proposed to attain an integrated GEDN with a given resilience level, by optimising the investment strategies of hardening and selective expansion of power distribution feeders and natural gas pipelines, as well as the location and capacity of natural-gas-fired distributed generation. In the first stage, the overall annual investment and operation cost is minimised under normal operation conditions while in the second stage, the feasibility of the investment decisions under the identified worst-case natural disaster scenario is checked with an adjustable load shedding cost criterion. The proposed model is formulated as a mixed integer second-order cone programming problem with the column and constraint generation algorithm employed to seek the optimal solution. Case studies on two integrated GEDNs demonstrate the performance of the proposed methodology.
UR - https://www.scopus.com/pages/publications/85090783300
U2 - 10.1049/iet-gtd.2019.0569
DO - 10.1049/iet-gtd.2019.0569
M3 - 文章
AN - SCOPUS:85090783300
SN - 1751-8687
VL - 14
SP - 3561
EP - 3570
JO - IET Generation, Transmission and Distribution
JF - IET Generation, Transmission and Distribution
IS - 17
ER -