Fully Parallel Optimization of Coordinated Electricity and Natural Gas Systems on High-Performance Computing

Intensified interactions between electric power and natural gas infrastructures raise significant demands to coordinate their system operations. This paper proposes a fully parallel optimization method that can achieve a rapid decision-making on the day-ahead coordinated operation of electricity and...

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Veröffentlicht in:	IEEE transactions on smart grid Jg. 14; H. 5; S. 3499 - 3511
Hauptverfasser:	Gong, Lin, Peng, Yehong, Zhang, Chenxu, Fu, Yong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.09.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computational modeling Decision making Decomposition Electric power Electric power and natural gas systems Electric power systems Electricity Electricity distribution Energy economics Generators High performance computing Meteorology Natural gas Optimization parallel optimization Parallel processing Power systems Systems operation
ISSN:	1949-3053, 1949-3061
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Abstract	Intensified interactions between electric power and natural gas infrastructures raise significant demands to coordinate their system operations. This paper proposes a fully parallel optimization method that can achieve a rapid decision-making on the day-ahead coordinated operation of electricity and natural gas systems on the high-performance computing (HPC) platform. The proposed method can flexibly tailor decomposition strategies to solve the optimization problem according to unique features of problem models in both electric power and natural gas systems. Particularly, the operation problem of power system is split by function and time into numbers of singe-unit subproblems and single-period network subproblems, while the operation problem of natural gas system is decomposed into multiple area subproblems. All the scalable subproblems are solved and coordinated quickly in a fully parallel manner on HPC for improving computational efficiency and tractability of complex electricity-gas co-optimization problem. By optimally coordinate electricity and natural gas systems under different operating conditions, the proposed method could improve the energy economics as well as the system resilience to various outages due to extreme events. Numerical results demonstrate the effectiveness and efficiency of our proposed co-optimization method and its HPC implementation.
AbstractList	Intensified interactions between electric power and natural gas infrastructures raise significant demands to coordinate their system operations. This paper proposes a fully parallel optimization method that can achieve a rapid decision-making on the day-ahead coordinated operation of electricity and natural gas systems on the high-performance computing (HPC) platform. The proposed method can flexibly tailor decomposition strategies to solve the optimization problem according to unique features of problem models in both electric power and natural gas systems. Particularly, the operation problem of power system is split by function and time into numbers of singe-unit subproblems and single-period network subproblems, while the operation problem of natural gas system is decomposed into multiple area subproblems. All the scalable subproblems are solved and coordinated quickly in a fully parallel manner on HPC for improving computational efficiency and tractability of complex electricity-gas co-optimization problem. By optimally coordinate electricity and natural gas systems under different operating conditions, the proposed method could improve the energy economics as well as the system resilience to various outages due to extreme events. Numerical results demonstrate the effectiveness and efficiency of our proposed co-optimization method and its HPC implementation.
Author	Zhang, Chenxu Gong, Lin Peng, Yehong Fu, Yong
Author_xml	– sequence: 1 givenname: Lin orcidid: 0000-0003-4591-5469 surname: Gong fullname: Gong, Lin email: lin.gong@jsums.edu organization: ECE&CS Department, Jackson State University, Jackson, MS, USA – sequence: 2 givenname: Yehong surname: Peng fullname: Peng, Yehong email: yp171@msstate.edu organization: ECE Department, Mississippi State University, Starkville, MS, USA – sequence: 3 givenname: Chenxu surname: Zhang fullname: Zhang, Chenxu email: cz218@msstate.edu organization: ECE Department, Mississippi State University, Starkville, MS, USA – sequence: 4 givenname: Yong orcidid: 0000-0002-5150-8125 surname: Fu fullname: Fu, Yong email: fu@ece.msstate.edu organization: ECE Department, Mississippi State University, Starkville, MS, USA
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SubjectTerms	Computational modeling Decision making Decomposition Electric power Electric power and natural gas systems Electric power systems Electricity Electricity distribution Energy economics Generators High performance computing Meteorology Natural gas Optimization parallel optimization Parallel processing Power systems Systems operation
Title	Fully Parallel Optimization of Coordinated Electricity and Natural Gas Systems on High-Performance Computing
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