DOI:10.1007/s40565-018-0377-5 |
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Robust optimization for improving resilience of integrated energy systems with electricity and natural gas infrastructures |
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Net amount: 812 |
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Author:
Hao CONG1, Yang HE2, Xu WANG3, Chuanwen JIANG1
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Author Affiliation:
1.Shanghai Jiao Tong University, Shanghai 200240, China;
2.State Grid Henan Electric Power Company, Zhengzhou 450000, Henan, China;
3.Illinois Institute of Technology, 10 W 35th Street, #1600, Chicago, IL, USA
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Foundation: |
This work was supported by National Natural
Science Foundation of China (No. 51577116). |
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Abstract: |
The integration of natural gas in electricity network
requires a more reliable operating plan for increasing
uncertainties in the whole system. In this paper, a threestage
robust optimization model is proposed for resilient
operation of energy system which integrates electricity and
natural gas transmission networks with the objective of
minimizing load curtailments caused by attacks. Nonconvex
constrains are linearized in order to formulate the
dual problem of optimal energy flow. Then, the proposed
three-stage problem can be reformulated into a two-stage
mixed integer linear program (MILP) and solved by Benders
decomposition algorithm. Numerical studies on IEEE
30-bus power system with 7-node natural gas network and
IEEE 118-bus power system with 14-node natural gas
network validate the feasibility of the proposed model for
improving resilience of integrated energy system. Energy
storage facilities are also considered for the resiliency
analysis. |
Keywords: |
Resilience, Robust optimization, Integrated
energy systems, Natural gas networks, Energy storage
systems |
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Online Time:2018/09/22 |
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