Comparison of various solution techniques in dispatching coupled electricity-heat system with independent thermal energy storage
Notable benefit can be brought by combined operation of coupled electricity-heat system (CEHS) and be enhanced by introducing independent thermal energy storage (ITES). With prevalent constant-flow variable temperature (CF-VT) control strategy of heat network, explicitly formulating CEHS with ITES l...
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| Veröffentlicht in: | IET renewable power generation Jg. 14; H. 3; S. 344 - 351 |
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The Institution of Engineering and Technology
24.02.2020
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| ISSN: | 1752-1416, 1752-1424, 1752-1424 |
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| Abstract | Notable benefit can be brought by combined operation of coupled electricity-heat system (CEHS) and be enhanced by introducing independent thermal energy storage (ITES). With prevalent constant-flow variable temperature (CF-VT) control strategy of heat network, explicitly formulating CEHS with ITES leads to mixed-integer non-convex programming. Although the problem can be reformulated as a mixed integer second-order cone programming (MISOCP) problem and solved by commercial solvers, improving the computation efficiency still needs more effort. Here, several alternative solution techniques, based on either reformulation or approximation methods, are studied and compared with the original MISOCP formulation. The computation efficiencies as well as on the solution accuracies of various solution techniques or a combination of them are investigated and analysed based on two constructed systems. Simulation results reveal that appropriately selecting formulations of electric and heat networks can effectively improve the performance of solving the original problem. |
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| AbstractList | Notable benefit can be brought by combined operation of coupled electricity‐heat system (CEHS) and be enhanced by introducing independent thermal energy storage (ITES). With prevalent constant‐flow variable temperature (CF‐VT) control strategy of heat network, explicitly formulating CEHS with ITES leads to mixed‐integer non‐convex programming. Although the problem can be reformulated as a mixed integer second‐order cone programming (MISOCP) problem and solved by commercial solvers, improving the computation efficiency still needs more effort. Here, several alternative solution techniques, based on either reformulation or approximation methods, are studied and compared with the original MISOCP formulation. The computation efficiencies as well as on the solution accuracies of various solution techniques or a combination of them are investigated and analysed based on two constructed systems. Simulation results reveal that appropriately selecting formulations of electric and heat networks can effectively improve the performance of solving the original problem. |
| Author | Liu, Bin Meng, Ke Dong, Zhao Yang |
| Author_xml | – sequence: 1 givenname: Bin orcidid: 0000-0001-9811-7714 surname: Liu fullname: Liu, Bin email: bin.liu@unsw.edu.au organization: School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney 2052, Australia – sequence: 2 givenname: Ke surname: Meng fullname: Meng, Ke organization: School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney 2052, Australia – sequence: 3 givenname: Zhao Yang surname: Dong fullname: Dong, Zhao Yang organization: School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney 2052, Australia |
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| Cites_doi | 10.1016/0196-8904(95)98895-T 10.3390/en9060474 10.1016/j.apenergy.2015.10.135 10.1109/TSTE.2017.2671744 10.1109/TSTE.2018.2829536 10.1016/j.apenergy.2015.09.020 10.1109/TSG.2014.2349352 10.1109/TPWRS.2008.2004744 10.1109/61.25627 10.1109/TPWRS.2019.2901254 10.1109/TSG.2016.2523504 10.1109/TPWRS.2014.2367124 10.1016/S0377-2217(02)00460-5 10.1109/TSTE.2018.2810137 10.1109/MPE.2016.2625218 10.1109/TPWRS.2013.2255317 10.1109/TSTE.2017.2778112 10.1016/j.energy.2017.12.037 10.1109/TSTE.2015.2467383 10.1109/TPWRS.2006.888988 10.1016/j.enbuild.2014.12.039 10.1515/aoter-2017-0029 10.1109/TSTE.2015.2500571 10.1109/JPROC.2010.2053831 10.1109/TSTE.2018.2793360 10.1109/MPE.2016.2626618 10.1109/CACSD.2004.1393890 10.1287/moor.26.2.193.10561 10.1109/TPWRS.2014.2367127 10.1109/TPWRS.2014.2356723 10.1016/j.apenergy.2015.01.102 10.1109/TPWRS.2013.2255318 |
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| Keywords | approximation theory constructed systems integer programming dispatching coupled electricity-heat system temperature control reformulation methods power generation control heat systems mixed-integer nonconvex programming independent thermal energy storage mixed integer second-order cone programming problem approximation methods thermal energy storage power generation dispatch CEHS computation efficiency constant-flow variable temperature control strategy electric heat networks MISOCP formulation CF-VT ITES concave programming |
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| Snippet | Notable benefit can be brought by combined operation of coupled electricity-heat system (CEHS) and be enhanced by introducing independent thermal energy... Notable benefit can be brought by combined operation of coupled electricity‐heat system (CEHS) and be enhanced by introducing independent thermal energy... |
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| SubjectTerms | approximation methods approximation theory CEHS CF‐VT computation efficiency concave programming constant‐flow variable temperature control strategy constructed systems dispatching coupled electricity‐heat system electric heat networks heat systems independent thermal energy storage integer programming ITES MISOCP formulation mixed integer second‐order cone programming problem mixed‐integer nonconvex programming power generation control power generation dispatch reformulation methods Special Issue: Multi-carrier Energy Storage for Harnessing Renewable Generation temperature control thermal energy storage |
| Title | Comparison of various solution techniques in dispatching coupled electricity-heat system with independent thermal energy storage |
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