Demand Management for Resilience Enhancement of Integrated Energy Distribution System against Natural Disasters
Yuting Xu,
Songsong Chen,
Shiming Tian and
Feixiang Gong
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Yuting Xu: China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Songsong Chen: China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Shiming Tian: China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Feixiang Gong: China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Sustainability, 2021, vol. 14, issue 1, 1-18
Abstract:
For energy sustainability, the integrated energy distribution system (IEDS) is an efficient and clean energy system, which is based on the coordinated operation of a power distribution network, a gas distribution network and a district heating system. In this paper, considering the damage of natural disasters to IEDS, a demand management strategy is proposed to improve resilience of IEDS and ensure stable operation, which is divided into three stages. In the first stage, the electricity, natural gas and thermal energy are co-optimized in the simulating fault state to develop the importance ranking of transmission lines and gas pipelines. In the second stage, the natural disasters are classified as surface natural disasters and geological natural disasters. According to the types of natural disasters, the demand management strategy includes semi-emergency demand management scheme and full-emergency demand management scheme in the electrical resilience mode and the integrated resilience mode, respectively. In the third stage, the non-sequential Monte-Carlo simulation and scenario reduction algorithm are applied to describe potential natural disaster scenarios. According to the importance ranking of transmission lines and gas pipelines, a demand management strategy is formulated. Finally, the proposed strategy is applied on an IEEE 33-bus power system and a 19-node natural gas system. Its effectiveness is verified by numerical case studies.
Keywords: demand management; integrated energy distribution system; resilience; co-optimization; non-sequential Monte-Carlo simulation; scenario reduction algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2021:i:1:p:5-:d:707193
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