Best response-based individually look-ahead scheduling for natural gas and power systems
The natural gas system and the electric power system are becoming increasingly coupled in consideration of more interdependent components, e.g., natural gas-fired units, in the systems. Energy supplies for these two systems need to be dispatched economically from their own perspectives when these tw...
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| Vydáno v: | Applied energy Ročník 304; s. 117673 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
15.12.2021
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| ISSN: | 0306-2619, 1872-9118 |
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| Abstract | The natural gas system and the electric power system are becoming increasingly coupled in consideration of more interdependent components, e.g., natural gas-fired units, in the systems. Energy supplies for these two systems need to be dispatched economically from their own perspectives when these two systems belong to different owners. This paper investigates the best response-based individually look-ahead scheduling for the natural gas system and the electric power system. The optimal scheduling strategies for these two systems are the best responses of the opposite sides, and the best response of each side is achieved by an iterative best-response-search approach. Each best-response-search process is established as a bilevel mixed integer linear programming model, in which the upper level aims to minimize each side’s operational cost constrained by on–off states of generators/lines/gas sources, and the lower level aims to minimize the total energy consumption cost constrained by the operational constraints in consideration of the scheduling of generators/lines/gas sources of two systems in the upper level. To deal with solving difficulty caused by binary variables in the lower level, the original bilevel mixed integer linear programming model is converted into a constrained single-level formulation, which is solved by a decomposition algorithm based on an iterative column-and-constraint generation method. Two cases validate the model and the algorithm, and the costs with the best response-based model and the joint optimization-based model are compared.
•Best response-based individually look-ahead scheduling of the power system and the natural gas system is presented.•The best response for each side is achieved by an iterative best-response-search approach.•Each best-response-search process is established as a bilevel mixed integer linear programming model.•The bilevel mixed integer linear programming model is converted into a constrained single-level model.•Costs with best response-based and joint optimization-based models are compared. |
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| AbstractList | The natural gas system and the electric power system are becoming increasingly coupled in consideration of more interdependent components, e.g., natural gas-fired units, in the systems. Energy supplies for these two systems need to be dispatched economically from their own perspectives when these two systems belong to different owners. This paper investigates the best response-based individually look-ahead scheduling for the natural gas system and the electric power system. The optimal scheduling strategies for these two systems are the best responses of the opposite sides, and the best response of each side is achieved by an iterative best-response-search approach. Each best-response-search process is established as a bilevel mixed integer linear programming model, in which the upper level aims to minimize each side’s operational cost constrained by on–off states of generators/lines/gas sources, and the lower level aims to minimize the total energy consumption cost constrained by the operational constraints in consideration of the scheduling of generators/lines/gas sources of two systems in the upper level. To deal with solving difficulty caused by binary variables in the lower level, the original bilevel mixed integer linear programming model is converted into a constrained single-level formulation, which is solved by a decomposition algorithm based on an iterative column-and-constraint generation method. Two cases validate the model and the algorithm, and the costs with the best response-based model and the joint optimization-based model are compared. The natural gas system and the electric power system are becoming increasingly coupled in consideration of more interdependent components, e.g., natural gas-fired units, in the systems. Energy supplies for these two systems need to be dispatched economically from their own perspectives when these two systems belong to different owners. This paper investigates the best response-based individually look-ahead scheduling for the natural gas system and the electric power system. The optimal scheduling strategies for these two systems are the best responses of the opposite sides, and the best response of each side is achieved by an iterative best-response-search approach. Each best-response-search process is established as a bilevel mixed integer linear programming model, in which the upper level aims to minimize each side’s operational cost constrained by on–off states of generators/lines/gas sources, and the lower level aims to minimize the total energy consumption cost constrained by the operational constraints in consideration of the scheduling of generators/lines/gas sources of two systems in the upper level. To deal with solving difficulty caused by binary variables in the lower level, the original bilevel mixed integer linear programming model is converted into a constrained single-level formulation, which is solved by a decomposition algorithm based on an iterative column-and-constraint generation method. Two cases validate the model and the algorithm, and the costs with the best response-based model and the joint optimization-based model are compared. •Best response-based individually look-ahead scheduling of the power system and the natural gas system is presented.•The best response for each side is achieved by an iterative best-response-search approach.•Each best-response-search process is established as a bilevel mixed integer linear programming model.•The bilevel mixed integer linear programming model is converted into a constrained single-level model.•Costs with best response-based and joint optimization-based models are compared. |
| ArticleNumber | 117673 |
| Author | Pan, Xueping Wu, Feng Lei, Shunbo Wang, Chong Ju, Ping |
| Author_xml | – sequence: 1 givenname: Chong orcidid: 0000-0003-2664-4675 surname: Wang fullname: Wang, Chong email: chongwang@hhu.edu.cn organization: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China – sequence: 2 givenname: Ping surname: Ju fullname: Ju, Ping email: pju@hhu.edu.cn organization: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China – sequence: 3 givenname: Feng surname: Wu fullname: Wu, Feng email: wufeng@hhu.edu.cn organization: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China – sequence: 4 givenname: Shunbo surname: Lei fullname: Lei, Shunbo email: leishunbo@cuhk.edu.cn organization: School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China – sequence: 5 givenname: Xueping surname: Pan fullname: Pan, Xueping email: xueping_pan@hhu.edu.cn organization: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China |
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| Cites_doi | 10.1016/j.apenergy.2015.03.017 10.1109/TSTE.2019.2927837 10.1016/j.apenergy.2015.10.150 10.1016/j.apenergy.2019.03.053 10.1109/TSTE.2018.2843121 10.1016/j.apenergy.2021.116740 10.1016/j.ijhydene.2006.10.018 10.23919/ACC.2017.7963683 10.1109/TPWRS.2012.2191984 10.1109/JPROC.2020.3005505 10.1109/TSTE.2019.2940624 10.1016/j.apenergy.2020.116201 10.1109/TSG.2019.2945511 10.1016/j.apenergy.2019.113420 10.1109/TPWRS.2017.2759198 10.1109/TSG.2019.2956740 10.1109/TPWRS.2017.2788052 10.1109/TPWRS.2019.2929685 10.1109/TSG.2020.2968178 10.1109/TPWRS.2019.2907170 10.1016/j.apenergy.2016.05.007 10.1109/TSG.2019.2938553 10.1109/TSTE.2019.2951701 10.1109/TSTE.2019.2941418 10.1109/TSTE.2018.2876387 10.1109/TPWRS.2014.2369486 10.1109/TSTE.2019.2952495 10.1109/TPWRS.2014.2372013 10.1109/TSTE.2019.2904404 10.1109/TSTE.2017.2771954 10.1109/TPWRS.2019.2895198 10.1007/978-3-319-44953-1_24 10.1109/TPWRS.2019.2935771 10.1016/j.apenergy.2019.02.038 10.1109/TPWRS.2014.2299714 10.1109/TPWRS.2009.2023262 10.1016/j.apenergy.2018.04.119 10.1016/j.energy.2021.119760 10.1016/j.apenergy.2018.06.001 10.1109/TSG.2019.2918088 10.1016/j.apenergy.2015.09.085 10.1016/j.apenergy.2016.07.077 10.1109/TSG.2018.2856825 10.1109/TSTE.2018.2877586 |
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| Keywords | Power system Bilevel mixed integer linear programming Natural gas system Iterative best-response-search Best response-based look-ahead scheduling |
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| References | Haeseldonckx, D’haeseleer (b4) 2007; 32 Nagarajan H, Lu M, Yamangil E, Bent R. Tightening mccormick relaxations for nonlinear programs via dynamic multivariate partitioning, in: International Conference on Principles and Practice of Constraint Programming, 2016, pp. 369–387. Li, Zhang, Jiang, Chen, Bai, Li (b15) 2017; 194 Zhao, Conejo, Sioshansi (b14) 2018; 33 Ríos-Mercado, Borraz-Sánchez (b10) 2015; 147 Yang, Xu, Sun (b34) 2020; 11 Fang, Cui, Yuan, Tan, Jiang (b48) 2019; 252 Chertkov, Backhaus, Lebedev (b5) 2015; 160 Liu, Zhan, Chung, Li (b22) 2019; 10 Ding, Hu, Bie (b13) 2017; PP He, Zhang, Liu, Wu (b25) 2019; 34 Lin, Chen, Wang, Bie (b28) 2019; 34 Liu, Bie, Wang (b21) 2019; 10 Wang, Ju, Wu, Lei, Hou (b36) 2021; 220 Badakhshan, Ehsan, Shahidehpour, Hajibandeh, Shafie-Khah, Catalão (b38) 2020; 11 Qi, Shahidehpour, Wen, Li, He, Yan (b42) 2020; 11 Fu, Lin, Song, Li, Song (b26) 2020; 11 Zhang, Shahidehpour, Alabdulwahab, Abusorrah (b12) 2015; 30 Roald, Sundar, Zlotnik, Misra, Andersson (b18) 2020; 108 Correa-Posada, n (b16) 2015; 30 Qu, Shi, Yu, Wang (b43) 2019; 240 . Nan, Wu, Liu, Liu, He (b6) 2020; 11 Wang, Wei, Wang, Bai, Liang, Bi (b41) 2018; 9 Lewandowska-Bernat, Desideri (b2) 2018; 228 Xiong, Predel, Crespo del Granado, Egging-Bratseth (b46) 2021; 283 Zeng, Ding, Xu, Yang, Dong (b7) 2020; 35 Dai, Yu, Yang, Huang, Lin, Li (b35) 2020; 11 Xiong, Predel, Crespo del Granado, Egging-Bratseth (b8) 2021; 283 Martinez-Mares, Fuerte-Esquivel (b9) 2012; 27 Liu, Li, Yang, Chung (b37) 2019; 34 Sayed, Wang, Bi (b29) 2019; 241 Wang, Ju, Lei, Wang, Wu, Hou (b30) 2020; 11 Qu, Yu, Shi, Chen (b23) 2020; 11 URL Devlin, Li, Higgins, Foley (b19) 2016; 167 Liu, Shahidehpour, Fu, Li (b11) 2009; 24 Li, Li, Wen, Shahidehpour (b45) 2019; 10 Yang, Zhang, Kang, Xia (b39) 2017; PP Zhao, Xu, Qadrdan, Wu (b17) 2021; 290 Yang, Xu, Sun, Zhao (b24) 2020; 11 Qi, Shahidehpour, Li, Wen, Shao (b44) 2020; 11 Yao, Wang, Ding, Wang, Wu, Liu (b20) 2019; 10 He, Yan, Shahidehpour, Li, Guo, Wu (b40) 2018; 33 Wu F, Nagarajan H, Zlotnik A, Sioshansi R, Rudkevich AM. Adaptive convex relaxations for gas pipeline network optimization, in: 2017 American Control Conference (ACC), 2017, pp. 4710–4716. He, Lu, Zhang, Geng, Zhao, Li (b1) 2018; 224 Correa-Posada, n (b31) 2014; 29 Yang, Liu, Chung, Wen (b27) 2020; 11 Cui, Li, Hu, Bai, Fang (b47) 2016; 176 Sayed (10.1016/j.apenergy.2021.117673_b29) 2019; 241 Qu (10.1016/j.apenergy.2021.117673_b23) 2020; 11 Zhao (10.1016/j.apenergy.2021.117673_b14) 2018; 33 Lewandowska-Bernat (10.1016/j.apenergy.2021.117673_b2) 2018; 228 Qu (10.1016/j.apenergy.2021.117673_b43) 2019; 240 Devlin (10.1016/j.apenergy.2021.117673_b19) 2016; 167 10.1016/j.apenergy.2021.117673_b32 Zeng (10.1016/j.apenergy.2021.117673_b7) 2020; 35 10.1016/j.apenergy.2021.117673_b33 Badakhshan (10.1016/j.apenergy.2021.117673_b38) 2020; 11 Correa-Posada (10.1016/j.apenergy.2021.117673_b16) 2015; 30 Liu (10.1016/j.apenergy.2021.117673_b21) 2019; 10 Yang (10.1016/j.apenergy.2021.117673_b34) 2020; 11 He (10.1016/j.apenergy.2021.117673_b25) 2019; 34 Haeseldonckx (10.1016/j.apenergy.2021.117673_b4) 2007; 32 Nan (10.1016/j.apenergy.2021.117673_b6) 2020; 11 He (10.1016/j.apenergy.2021.117673_b40) 2018; 33 Liu (10.1016/j.apenergy.2021.117673_b11) 2009; 24 Correa-Posada (10.1016/j.apenergy.2021.117673_b31) 2014; 29 Chertkov (10.1016/j.apenergy.2021.117673_b5) 2015; 160 Zhao (10.1016/j.apenergy.2021.117673_b17) 2021; 290 Yao (10.1016/j.apenergy.2021.117673_b20) 2019; 10 He (10.1016/j.apenergy.2021.117673_b1) 2018; 224 Yang (10.1016/j.apenergy.2021.117673_b39) 2017; PP Liu (10.1016/j.apenergy.2021.117673_b37) 2019; 34 Xiong (10.1016/j.apenergy.2021.117673_b8) 2021; 283 Yang (10.1016/j.apenergy.2021.117673_b24) 2020; 11 Fu (10.1016/j.apenergy.2021.117673_b26) 2020; 11 Wang (10.1016/j.apenergy.2021.117673_b36) 2021; 220 Cui (10.1016/j.apenergy.2021.117673_b47) 2016; 176 Martinez-Mares (10.1016/j.apenergy.2021.117673_b9) 2012; 27 Liu (10.1016/j.apenergy.2021.117673_b22) 2019; 10 Li (10.1016/j.apenergy.2021.117673_b15) 2017; 194 Lin (10.1016/j.apenergy.2021.117673_b28) 2019; 34 Wang (10.1016/j.apenergy.2021.117673_b30) 2020; 11 Fang (10.1016/j.apenergy.2021.117673_b48) 2019; 252 Yang (10.1016/j.apenergy.2021.117673_b27) 2020; 11 Xiong (10.1016/j.apenergy.2021.117673_b46) 2021; 283 Ríos-Mercado (10.1016/j.apenergy.2021.117673_b10) 2015; 147 Roald (10.1016/j.apenergy.2021.117673_b18) 2020; 108 Qi (10.1016/j.apenergy.2021.117673_b42) 2020; 11 Dai (10.1016/j.apenergy.2021.117673_b35) 2020; 11 10.1016/j.apenergy.2021.117673_b3 Qi (10.1016/j.apenergy.2021.117673_b44) 2020; 11 Wang (10.1016/j.apenergy.2021.117673_b41) 2018; 9 Li (10.1016/j.apenergy.2021.117673_b45) 2019; 10 Zhang (10.1016/j.apenergy.2021.117673_b12) 2015; 30 Ding (10.1016/j.apenergy.2021.117673_b13) 2017; PP |
| References_xml | – volume: PP year: 2017 ident: b39 article-title: Effect of natural gas flow dynamics in robust generation scheduling under wind uncertainty publication-title: IEEE Trans Power Syst – volume: 34 start-page: 2755 year: 2019 end-page: 2767 ident: b28 article-title: A combined repair crew dispatch problem for resilient electric and natural gas system considering reconfiguration and DG islanding publication-title: IEEE Trans Power Syst – volume: 10 start-page: 4309 year: 2019 end-page: 4322 ident: b20 article-title: Stochastic day-ahead scheduling of integrated energy distribution network with identifying redundant gas network constraints publication-title: IEEE Trans. Smart Grid – volume: 32 start-page: 1381 year: 2007 end-page: 1386 ident: b4 article-title: The use of the natural-gas pipeline infrastructure for hydrogen transport in a changing market structure publication-title: Int J Hydrogen Energy – reference: Wu F, Nagarajan H, Zlotnik A, Sioshansi R, Rudkevich AM. Adaptive convex relaxations for gas pipeline network optimization, in: 2017 American Control Conference (ACC), 2017, pp. 4710–4716. – volume: 283 year: 2021 ident: b46 article-title: Spatial flexibility in redispatch: Supporting low carbon energy systems with power-to-gas publication-title: Appl Energy – volume: 290 year: 2021 ident: b17 article-title: Optimal operation of compressor units in gas networks to provide flexibility to power systems publication-title: Appl Energy – volume: 224 start-page: 357 year: 2018 end-page: 370 ident: b1 article-title: Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas publication-title: Appl Energy – volume: 33 start-page: 4531 year: 2018 end-page: 4542 ident: b40 article-title: Decentralized optimization of multi-area electricity-natural gas flows based on cone reformulation publication-title: IEEE Trans Power Syst – volume: 220 year: 2021 ident: b36 article-title: Coordinated scheduling of integrated power and gas grids in consideration of gas flow dynamics publication-title: Energy – volume: 228 start-page: 57 year: 2018 end-page: 67 ident: b2 article-title: Opportunities of power-to-gas technology in different energy systems architectures publication-title: Appl Energy – volume: 29 start-page: 1780 year: 2014 end-page: 1787 ident: b31 article-title: Security-constrained optimal power and natural-gas flow publication-title: IEEE Trans Power Syst – volume: 11 start-page: 1802 year: 2020 end-page: 1804 ident: b34 article-title: A dynamic linearization and convex relaxation-based approach for a natural gas optimal operation problem publication-title: IEEE Trans. Smart Grid – volume: 30 start-page: 2984 year: 2015 end-page: 2993 ident: b12 article-title: Security-constrained co-optimization planning of electricity and natural gas transportation infrastructures publication-title: IEEE Trans Power Syst – volume: 11 start-page: 1473 year: 2020 end-page: 1482 ident: b35 article-title: A static equivalent model of natural gas network for electricity–gas co-optimization publication-title: IEEE Trans Sustain Energy – volume: 11 start-page: 118 year: 2020 end-page: 128 ident: b38 article-title: Security-constrained unit commitment with natural gas pipeline transient constraints publication-title: IEEE Trans. Smart Grid – reference: Nagarajan H, Lu M, Yamangil E, Bent R. Tightening mccormick relaxations for nonlinear programs via dynamic multivariate partitioning, in: International Conference on Principles and Practice of Constraint Programming, 2016, pp. 369–387. – volume: 167 start-page: 294 year: 2016 end-page: 304 ident: b19 article-title: The importance of gas infrastructure in power systems with high wind power penetrations publication-title: Appl Energy – volume: 11 start-page: 2230 year: 2020 end-page: 2240 ident: b44 article-title: A chance-constrained decentralized operation of multi-area integrated electricity–natural gas systems with variable wind and solar energy publication-title: IEEE Trans Sustain Energy – volume: 241 start-page: 548 year: 2019 end-page: 566 ident: b29 article-title: Resilient operational strategies for power systems considering the interactions with natural gas systems publication-title: Appl Energy – volume: 24 start-page: 1523 year: 2009 end-page: 1536 ident: b11 article-title: Security-constrained unit commitment with natural gas transmission constraints publication-title: IEEE Trans Power Syst – volume: 283 year: 2021 ident: b8 article-title: Spatial flexibility in redispatch: Supporting low carbon energy systems with power-to-gas publication-title: Appl Energy – volume: 27 start-page: 2156 year: 2012 end-page: 2166 ident: b9 article-title: A unified gas and power flow analysis in natural gas and electricity coupled networks publication-title: IEEE Trans Power Syst – volume: 11 start-page: 1465 year: 2020 end-page: 1475 ident: b24 article-title: Two-stage convexification-based optimal electricity-gas flow publication-title: IEEE Trans. Smart Grid – volume: 10 start-page: 1927 year: 2019 end-page: 1938 ident: b22 article-title: Day-ahead optimal operation for multi-energy residential systems with renewables publication-title: IEEE Trans Sustain Energy – volume: 9 start-page: 1145 year: 2018 end-page: 1156 ident: b41 article-title: Convex optimization based distributed optimal gas-power flow calculation publication-title: IEEE Trans Sustain Energy – volume: 194 start-page: 696 year: 2017 end-page: 704 ident: b15 article-title: Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process publication-title: Appl Energy – volume: 33 start-page: 3064 year: 2018 end-page: 3075 ident: b14 article-title: Coordinated expansion planning of natural gas and electric power systems publication-title: IEEE Trans Power Syst – volume: 11 start-page: 3558 year: 2020 end-page: 3569 ident: b6 article-title: Vulnerability identification and evaluation of interdependent natural gas-electricity systems publication-title: IEEE Trans. Smart Grid – volume: 11 start-page: 2141 year: 2020 end-page: 2151 ident: b26 article-title: Optimal operation of an integrated energy system incorporated with hcng distribution networks publication-title: IEEE Trans Sustain Energy – volume: 30 start-page: 3347 year: 2015 end-page: 3355 ident: b16 article-title: Integrated power and natural gas model for energy adequacy in short-term operation publication-title: IEEE Trans Power Syst – volume: 147 start-page: 536 year: 2015 end-page: 555 ident: b10 article-title: Optimization problems in natural gas transportation systems: A state-of-the-art review publication-title: Appl Energy – volume: 10 start-page: 2028 year: 2019 end-page: 2038 ident: b45 article-title: Privacy-preserving optimal dispatch for an integrated power distribution and natural gas system in networked energy hubs publication-title: IEEE Trans Sustain Energy – volume: 35 start-page: 571 year: 2020 end-page: 583 ident: b7 article-title: Reliability evaluation for integrated power-gas systems with power-to-gas and gas storages publication-title: IEEE Trans Power Syst – volume: 34 start-page: 5076 year: 2019 end-page: 5079 ident: b37 article-title: Optimal energy flow for integrated energy systems considering gas transients publication-title: IEEE Trans Power Syst – volume: 10 start-page: 646 year: 2019 end-page: 658 ident: b21 article-title: Day-ahead dispatch of integrated electricity and natural gas system considering reserve scheduling and renewable uncertainties publication-title: IEEE Trans Sustain Energy – reference: . – volume: 252 year: 2019 ident: b48 article-title: Distributionally-robust chance constrained and interval optimization for integrated electricity and natural gas systems optimal power flow with wind uncertainties publication-title: Appl Energy – volume: 108 start-page: 1518 year: 2020 end-page: 1540 ident: b18 article-title: An uncertainty management framework for integrated gas-electric energy systems publication-title: Proc IEEE – volume: 11 start-page: 1785 year: 2020 end-page: 1796 ident: b42 article-title: Decentralized privacy-preserving operation of multi-area integrated electricity and natural gas systems with renewable energy resources publication-title: IEEE Trans Sustain Energy – volume: 240 start-page: 630 year: 2019 end-page: 645 ident: b43 article-title: A convex decentralized optimization for environmental-economic power and gas system considering diversified emission control publication-title: Appl Energy – volume: PP year: 2017 ident: b13 article-title: Multi-stage stochastic programming with nonanticipativity constraints for expansion of combined power and natural gas systems publication-title: IEEE Trans Power Syst – volume: 176 start-page: 183 year: 2016 end-page: 195 ident: b47 article-title: Day-ahead coordinated operation of utility-scale electricity and natural gas networks considering demand response based virtual power plants publication-title: Appl Energy – volume: 160 start-page: 541 year: 2015 end-page: 551 ident: b5 article-title: Cascading of fluctuations in interdependent energy infrastructures: Gas-grid coupling publication-title: Appl Energy – volume: 11 start-page: 1807 year: 2020 end-page: 1819 ident: b27 article-title: Coordinated planning strategy for integrated energy systems in a district energy sector publication-title: IEEE Trans Sustain Energy – volume: 34 start-page: 3791 year: 2019 end-page: 3803 ident: b25 article-title: Distributionally robust scheduling of integrated gas-electricity systems with demand response publication-title: IEEE Trans Power Syst – volume: 11 start-page: 2498 year: 2020 end-page: 2510 ident: b30 article-title: Markov Decision process-based resilience enhancement for distribution systems: An approximate dynamic programming approach publication-title: IEEE Trans Smart Grid – reference: URL: – volume: 11 start-page: 726 year: 2020 end-page: 735 ident: b23 article-title: Synergetic power-gas flow with space-time diffusion control of air pollutants using a convex multi-objective optimization publication-title: IEEE Trans Sustain Energy – volume: 147 start-page: 536 year: 2015 ident: 10.1016/j.apenergy.2021.117673_b10 article-title: Optimization problems in natural gas transportation systems: A state-of-the-art review publication-title: Appl Energy doi: 10.1016/j.apenergy.2015.03.017 – volume: 11 start-page: 1473 issue: 3 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b35 article-title: A static equivalent model of natural gas network for electricity–gas co-optimization publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2019.2927837 – volume: 167 start-page: 294 issn: 0306-2619 year: 2016 ident: 10.1016/j.apenergy.2021.117673_b19 article-title: The importance of gas infrastructure in power systems with high wind power penetrations publication-title: Appl Energy doi: 10.1016/j.apenergy.2015.10.150 – volume: 241 start-page: 548 year: 2019 ident: 10.1016/j.apenergy.2021.117673_b29 article-title: Resilient operational strategies for power systems considering the interactions with natural gas systems publication-title: Appl Energy doi: 10.1016/j.apenergy.2019.03.053 – volume: 10 start-page: 646 issue: 2 year: 2019 ident: 10.1016/j.apenergy.2021.117673_b21 article-title: Day-ahead dispatch of integrated electricity and natural gas system considering reserve scheduling and renewable uncertainties publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2018.2843121 – volume: 290 issn: 0306-2619 year: 2021 ident: 10.1016/j.apenergy.2021.117673_b17 article-title: Optimal operation of compressor units in gas networks to provide flexibility to power systems publication-title: Appl Energy doi: 10.1016/j.apenergy.2021.116740 – volume: 32 start-page: 1381 issue: 10 year: 2007 ident: 10.1016/j.apenergy.2021.117673_b4 article-title: The use of the natural-gas pipeline infrastructure for hydrogen transport in a changing market structure publication-title: Int J Hydrogen Energy doi: 10.1016/j.ijhydene.2006.10.018 – ident: 10.1016/j.apenergy.2021.117673_b32 doi: 10.23919/ACC.2017.7963683 – volume: PP issue: 99 year: 2017 ident: 10.1016/j.apenergy.2021.117673_b39 article-title: Effect of natural gas flow dynamics in robust generation scheduling under wind uncertainty publication-title: IEEE Trans Power Syst – volume: 27 start-page: 2156 issue: 4 year: 2012 ident: 10.1016/j.apenergy.2021.117673_b9 article-title: A unified gas and power flow analysis in natural gas and electricity coupled networks publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2012.2191984 – volume: 108 start-page: 1518 issue: 9 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b18 article-title: An uncertainty management framework for integrated gas-electric energy systems publication-title: Proc IEEE doi: 10.1109/JPROC.2020.3005505 – volume: 11 start-page: 1785 issue: 3 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b42 article-title: Decentralized privacy-preserving operation of multi-area integrated electricity and natural gas systems with renewable energy resources publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2019.2940624 – volume: 283 issn: 0306-2619 year: 2021 ident: 10.1016/j.apenergy.2021.117673_b8 article-title: Spatial flexibility in redispatch: Supporting low carbon energy systems with power-to-gas publication-title: Appl Energy doi: 10.1016/j.apenergy.2020.116201 – volume: 11 start-page: 1802 issue: 2 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b34 article-title: A dynamic linearization and convex relaxation-based approach for a natural gas optimal operation problem publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2019.2945511 – volume: 252 issn: 0306-2619 year: 2019 ident: 10.1016/j.apenergy.2021.117673_b48 article-title: Distributionally-robust chance constrained and interval optimization for integrated electricity and natural gas systems optimal power flow with wind uncertainties publication-title: Appl Energy doi: 10.1016/j.apenergy.2019.113420 – volume: 33 start-page: 3064 issue: 3 year: 2018 ident: 10.1016/j.apenergy.2021.117673_b14 article-title: Coordinated expansion planning of natural gas and electric power systems publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2017.2759198 – volume: 11 start-page: 2498 issue: 3 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b30 article-title: Markov Decision process-based resilience enhancement for distribution systems: An approximate dynamic programming approach publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2019.2956740 – volume: 33 start-page: 4531 issue: 4 year: 2018 ident: 10.1016/j.apenergy.2021.117673_b40 article-title: Decentralized optimization of multi-area electricity-natural gas flows based on cone reformulation publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2017.2788052 – volume: PP issue: 99 year: 2017 ident: 10.1016/j.apenergy.2021.117673_b13 article-title: Multi-stage stochastic programming with nonanticipativity constraints for expansion of combined power and natural gas systems publication-title: IEEE Trans Power Syst – ident: 10.1016/j.apenergy.2021.117673_b3 – volume: 34 start-page: 5076 issue: 6 year: 2019 ident: 10.1016/j.apenergy.2021.117673_b37 article-title: Optimal energy flow for integrated energy systems considering gas transients publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2019.2929685 – volume: 11 start-page: 3558 issue: 4 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b6 article-title: Vulnerability identification and evaluation of interdependent natural gas-electricity systems publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2020.2968178 – volume: 34 start-page: 3791 issue: 5 year: 2019 ident: 10.1016/j.apenergy.2021.117673_b25 article-title: Distributionally robust scheduling of integrated gas-electricity systems with demand response publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2019.2907170 – volume: 176 start-page: 183 issn: 0306-2619 year: 2016 ident: 10.1016/j.apenergy.2021.117673_b47 article-title: Day-ahead coordinated operation of utility-scale electricity and natural gas networks considering demand response based virtual power plants publication-title: Appl Energy doi: 10.1016/j.apenergy.2016.05.007 – volume: 11 start-page: 1465 issue: 2 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b24 article-title: Two-stage convexification-based optimal electricity-gas flow publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2019.2938553 – volume: 11 start-page: 2141 issue: 4 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b26 article-title: Optimal operation of an integrated energy system incorporated with hcng distribution networks publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2019.2951701 – volume: 11 start-page: 1807 issue: 3 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b27 article-title: Coordinated planning strategy for integrated energy systems in a district energy sector publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2019.2941418 – volume: 10 start-page: 1927 issue: 4 year: 2019 ident: 10.1016/j.apenergy.2021.117673_b22 article-title: Day-ahead optimal operation for multi-energy residential systems with renewables publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2018.2876387 – volume: 30 start-page: 2984 issue: 6 year: 2015 ident: 10.1016/j.apenergy.2021.117673_b12 article-title: Security-constrained co-optimization planning of electricity and natural gas transportation infrastructures publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2014.2369486 – volume: 11 start-page: 2230 issue: 4 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b44 article-title: A chance-constrained decentralized operation of multi-area integrated electricity–natural gas systems with variable wind and solar energy publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2019.2952495 – volume: 30 start-page: 3347 issue: 6 year: 2015 ident: 10.1016/j.apenergy.2021.117673_b16 article-title: Integrated power and natural gas model for energy adequacy in short-term operation publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2014.2372013 – volume: 283 issn: 0306-2619 year: 2021 ident: 10.1016/j.apenergy.2021.117673_b46 article-title: Spatial flexibility in redispatch: Supporting low carbon energy systems with power-to-gas publication-title: Appl Energy doi: 10.1016/j.apenergy.2020.116201 – volume: 11 start-page: 726 issue: 2 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b23 article-title: Synergetic power-gas flow with space-time diffusion control of air pollutants using a convex multi-objective optimization publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2019.2904404 – volume: 9 start-page: 1145 issue: 3 year: 2018 ident: 10.1016/j.apenergy.2021.117673_b41 article-title: Convex optimization based distributed optimal gas-power flow calculation publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2017.2771954 – volume: 34 start-page: 2755 issue: 4 year: 2019 ident: 10.1016/j.apenergy.2021.117673_b28 article-title: A combined repair crew dispatch problem for resilient electric and natural gas system considering reconfiguration and DG islanding publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2019.2895198 – ident: 10.1016/j.apenergy.2021.117673_b33 doi: 10.1007/978-3-319-44953-1_24 – volume: 35 start-page: 571 issue: 1 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b7 article-title: Reliability evaluation for integrated power-gas systems with power-to-gas and gas storages publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2019.2935771 – volume: 240 start-page: 630 issn: 0306-2619 year: 2019 ident: 10.1016/j.apenergy.2021.117673_b43 article-title: A convex decentralized optimization for environmental-economic power and gas system considering diversified emission control publication-title: Appl Energy doi: 10.1016/j.apenergy.2019.02.038 – volume: 29 start-page: 1780 issue: 4 year: 2014 ident: 10.1016/j.apenergy.2021.117673_b31 article-title: Security-constrained optimal power and natural-gas flow publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2014.2299714 – volume: 24 start-page: 1523 issn: 0885-8950 issue: 3 year: 2009 ident: 10.1016/j.apenergy.2021.117673_b11 article-title: Security-constrained unit commitment with natural gas transmission constraints publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2009.2023262 – volume: 224 start-page: 357 year: 2018 ident: 10.1016/j.apenergy.2021.117673_b1 article-title: Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas publication-title: Appl Energy doi: 10.1016/j.apenergy.2018.04.119 – volume: 220 year: 2021 ident: 10.1016/j.apenergy.2021.117673_b36 article-title: Coordinated scheduling of integrated power and gas grids in consideration of gas flow dynamics publication-title: Energy doi: 10.1016/j.energy.2021.119760 – volume: 228 start-page: 57 issn: 0306-2619 year: 2018 ident: 10.1016/j.apenergy.2021.117673_b2 article-title: Opportunities of power-to-gas technology in different energy systems architectures publication-title: Appl Energy doi: 10.1016/j.apenergy.2018.06.001 – volume: 11 start-page: 118 issue: 1 year: 2020 ident: 10.1016/j.apenergy.2021.117673_b38 article-title: Security-constrained unit commitment with natural gas pipeline transient constraints publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2019.2918088 – volume: 160 start-page: 541 year: 2015 ident: 10.1016/j.apenergy.2021.117673_b5 article-title: Cascading of fluctuations in interdependent energy infrastructures: Gas-grid coupling publication-title: Appl Energy doi: 10.1016/j.apenergy.2015.09.085 – volume: 194 start-page: 696 year: 2017 ident: 10.1016/j.apenergy.2021.117673_b15 article-title: Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process publication-title: Appl Energy doi: 10.1016/j.apenergy.2016.07.077 – volume: 10 start-page: 4309 issue: 4 year: 2019 ident: 10.1016/j.apenergy.2021.117673_b20 article-title: Stochastic day-ahead scheduling of integrated energy distribution network with identifying redundant gas network constraints publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2018.2856825 – volume: 10 start-page: 2028 issue: 4 year: 2019 ident: 10.1016/j.apenergy.2021.117673_b45 article-title: Privacy-preserving optimal dispatch for an integrated power distribution and natural gas system in networked energy hubs publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2018.2877586 |
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| SubjectTerms | algorithms Best response-based look-ahead scheduling Bilevel mixed integer linear programming electric power energy Iterative best-response-search model validation natural gas Natural gas system operating costs Power system |
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