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LAPSE:2019.0784
Published Article
LAPSE:2019.0784
Optimal Expansion Co-Planning of Reconfigurable Electricity and Natural Gas Distribution Systems Incorporating Energy Hubs
Xianzheng Zhou, Chuangxin Guo, Yifei Wang, Wanqi Li
July 26, 2019
In a carbon-constrained world, natural gas with low emission intensity plays an important role in the energy consumption area. Energy consumers and distribution networks are linked via energy hubs. Meanwhile, reconfiguration that optimizes operational performance while maintaining a radial network topology is a worldwide technique in the electricity distribution system. To improve the overall efficiency of energy infrastructure, the expansion of electricity distribution lines and elements within energy hubs should be co-planned. In this paper, the co-planning process is modeled as a mixed integer quadratic programming problem to handle conflicting objectives simultaneously. We propose a novel model to identify the optimal co-expansion plan in terms of total cost. Operational factors including energy storages and reconfiguration are considered within the systems to serve electricity, cooling and heating loads. Reconfiguration and elements in energy hubs can avoid or defer new elements’ installation to minimize the investment cost, maintenance cost, operation cost, and interruption cost in the planning horizon. The proposed co-planning approach is verified on 3 and 12-node electricity and natural gas distribution systems coupled via energy hubs. Numerical results show the ability of our proposed expansion co-planning approach based on energy hub in meeting energy demand.
Keywords
electricity and natural gas distribution systems, energy hub, Energy Storage, expansion planning, multi-energy systems, reconfiguration
Suggested Citation
Zhou X, Guo C, Wang Y, Li W. Optimal Expansion Co-Planning of Reconfigurable Electricity and Natural Gas Distribution Systems Incorporating Energy Hubs. (2019). LAPSE:2019.0784
Author Affiliations
Zhou X: Electrical Engineering College, Zhejiang University, Hangzhou 310027, China [ORCID]
Guo C: Electrical Engineering College, Zhejiang University, Hangzhou 310027, China
Wang Y: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Li W: Electrical Engineering College, Zhejiang University, Hangzhou 310027, China
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Journal Name
Energies
Volume
10
Issue
1
Article Number
E124
Year
2017
Publication Date
2017-01-19
Published Version
ISSN
1996-1073
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Original Submission
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PII: en10010124, Publication Type: Journal Article
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LAPSE:2019.0784
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doi:10.3390/en10010124
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Jul 26, 2019
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CC BY 4.0
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Jul 26, 2019
 
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Calvin Tsay
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