Resilience-Motivated Distribution System Restoration Considering Electricity-Water-Gas Interdependency

Journal Article · Mon Aug 16 00:00:00 EDT 2021 · IEEE Transactions on Smart Grid

DOI: https://doi.org/10.1109/tsg.2021.3105234 · OSTI ID:1842825

Li, Jiaxu  ^[1]; Xu, Yin  ^[1]; Wang, Ying  ^[1]; Li, Meng  ^[1]; He, Jinghan  ^[1]; Liu, Chen-Ching  ^[2]; Schneider, Kevin P.  ^[3]

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1. Beijing Jiaotong Univ. (China)
2. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
3. Pacific Northwest National Lab. (PNNL), Seattle, WA (United States). Battelle Seattle Research Center

A major outage in the electricity distribution system may affect the operation of water and natural gas supply systems, leading to an interruption of multiple services to critical customers. Therefore, enhancing resilience of critical infrastructures requires joint efforts of multiple sectors. In this paper, a distribution system service restoration method considering the electricity-water-gas interdependency is proposed. The objective is maximizing the supply of electricity, water, and gas to critical customers after an extreme event. The operational constraints of electricity, water, and natural gas networks are considered. Additionally, the characteristics of electricity-driven coupling components, including water pumps and gas compressors, are also modeled. Relaxation techniques are applied to non convex constraints posed by physical laws of those networks. Consequently, the restoration problem is formulated as a mixed-integer second-order cone program, which can readily be solved by the off-the-shelf solvers. The proposed method is validated by numerical simulations on an electricity-water-gas integrated system, developed based on benchmark models of the subsystems. The results indicate that considering the interdependency refines the allocation of limited generation resources and demonstrate the exactness of the proposed convex relaxation

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE; Fundamental Research Funds for the Central Universities
• Grant/Contract Number: AC05-76RL01830; 2018JBZ004
• OSTI ID: 1842825
• Report Number(s): PNNL-SA-159697
• Journal Information: IEEE Transactions on Smart Grid, Vol. 12, Issue 6; ISSN 1949-3053
• Publisher: IEEECopyright Statement
• Country of Publication: United States
• Language: English