Open AccessResilient co‐expansion planning between gas and electric distribution networks against natural disasters
Author(s) -
Zou Bo,
Wang Cheng,
Zhou Ying,
Wang Jianhui,
Chen Chen,
Wen Fushuan
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.0569
Subject(s) - natural gas , mathematical optimization , integer programming , investment (military) , pipeline transport , electricity generation , electric power , resilience (materials science) , computer science , operations research , engineering , power (physics) , environmental engineering , mathematics , waste management , physics , quantum mechanics , politics , political science , law , thermodynamics
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.