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- Publisher Website: 10.1016/j.energy.2021.119760
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Article: Coordinated scheduling of integrated power and gas grids in consideration of gas flow dynamics
Title | Coordinated scheduling of integrated power and gas grids in consideration of gas flow dynamics |
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Authors | |
Keywords | Coordinated scheduling Gas flow dynamics Mixed-integer second-order cone programming Gas grid Power grid |
Issue Date | 2021 |
Publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/energy |
Citation | Energy, 2021, v. 220, article no. 119760 How to Cite? |
Abstract | Natural gas, hydrogen, methane, or their mixture play important roles in the energy systems, and the coordinated optimal scheduling for the integrated energy systems are requisite in consideration of complicated system characteristics. This paper focuses on mixed-integer second-order cone programming-based optimal scheduling for the electric grids with gas flow dynamics in consideration of AC power flow, unit commitment, and line switching. For the gas grids, differential continuity equations and differential momentum equations, representing gas flow dynamics, are discretized to a group of algebraic equations with the implicit trapezoidal rules. In the algebraic equations, nonconvex bilinear terms with integer variables, representing gas flow directions, are transformed into linear inequality constraints with McCormick envelopes, and quadratic terms are relaxed by the second-order cone (SOC) approach. For the electric grids, SOC relaxation-based AC power flow models are employed, and the line switching problem is modeled by the improved SOC relaxation approach with McCormick envelopes. The entire problem is established as a mixed-integer second-order cone programming model, and the impacts of gas flow dynamics on the feasible region compared to the steady-state region are discussed. |
Persistent Identifier | http://hdl.handle.net/10722/306412 |
ISSN | 2023 Impact Factor: 9.0 2023 SCImago Journal Rankings: 2.110 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, C | - |
dc.contributor.author | Ju, P | - |
dc.contributor.author | Wu, F | - |
dc.contributor.author | Lei, S | - |
dc.contributor.author | Hou, Y | - |
dc.date.accessioned | 2021-10-20T10:23:13Z | - |
dc.date.available | 2021-10-20T10:23:13Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Energy, 2021, v. 220, article no. 119760 | - |
dc.identifier.issn | 0360-5442 | - |
dc.identifier.uri | http://hdl.handle.net/10722/306412 | - |
dc.description.abstract | Natural gas, hydrogen, methane, or their mixture play important roles in the energy systems, and the coordinated optimal scheduling for the integrated energy systems are requisite in consideration of complicated system characteristics. This paper focuses on mixed-integer second-order cone programming-based optimal scheduling for the electric grids with gas flow dynamics in consideration of AC power flow, unit commitment, and line switching. For the gas grids, differential continuity equations and differential momentum equations, representing gas flow dynamics, are discretized to a group of algebraic equations with the implicit trapezoidal rules. In the algebraic equations, nonconvex bilinear terms with integer variables, representing gas flow directions, are transformed into linear inequality constraints with McCormick envelopes, and quadratic terms are relaxed by the second-order cone (SOC) approach. For the electric grids, SOC relaxation-based AC power flow models are employed, and the line switching problem is modeled by the improved SOC relaxation approach with McCormick envelopes. The entire problem is established as a mixed-integer second-order cone programming model, and the impacts of gas flow dynamics on the feasible region compared to the steady-state region are discussed. | - |
dc.language | eng | - |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/energy | - |
dc.relation.ispartof | Energy | - |
dc.subject | Coordinated scheduling | - |
dc.subject | Gas flow dynamics | - |
dc.subject | Mixed-integer second-order cone programming | - |
dc.subject | Gas grid | - |
dc.subject | Power grid | - |
dc.title | Coordinated scheduling of integrated power and gas grids in consideration of gas flow dynamics | - |
dc.type | Article | - |
dc.identifier.email | Hou, Y: yhhou@hku.hk | - |
dc.identifier.authority | Hou, Y=rp00069 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.energy.2021.119760 | - |
dc.identifier.scopus | eid_2-s2.0-85099555037 | - |
dc.identifier.hkuros | 327383 | - |
dc.identifier.volume | 220 | - |
dc.identifier.spage | article no. 119760 | - |
dc.identifier.epage | article no. 119760 | - |
dc.identifier.isi | WOS:000623091200005 | - |
dc.publisher.place | United Kingdom | - |