Chance-constrained energy-reserve co-optimization scheduling of wind-photovoltaic-hydrogen integrated energy systems
An optimal energy-reserve scheduling model of wind-photovoltaic-hydrogen integrated energy systems (WPH-IES) with multi-type energy storage devices including electric, thermal and hydrogen is presented in this paper. The chance-constrained programming (CCP) theory is utilized to model the impact of...
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| Vydáno v: | International journal of hydrogen energy Ročník 48; číslo 19; s. 6892 - 6905 |
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| Jazyk: | angličtina |
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Elsevier Ltd
01.03.2023
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| ISSN: | 0360-3199, 1879-3487 |
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| Abstract | An optimal energy-reserve scheduling model of wind-photovoltaic-hydrogen integrated energy systems (WPH-IES) with multi-type energy storage devices including electric, thermal and hydrogen is presented in this paper. The chance-constrained programming (CCP) theory is utilized to model the impact of renewable and load uncertainties on reserve constraints. Considering the non-convex of proposed CCP model, an improved discretized step transformation (DST) method is proposed to transform the CCP problem into a solvable mixed integer linear programming (MILP) formulation. In addition, a critical threshold value selection approach is developed to reduce the number of constraints and improve solution efficiency. Case studies demonstrate that the proposed energy-reserve model can reduce the total operating cost on the premise of ensuring the safety of system operation. The combined improved DST and critical threshold value selection method can reduce computational burden and improve the accuracy of scheduling results.
•An optimal energy-reserve scheduling model of WPH-IES is proposed.•The multi-type energy storage devices are considered.•An improved discretized step transformation method is proposed. |
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| AbstractList | An optimal energy-reserve scheduling model of wind-photovoltaic-hydrogen integrated energy systems (WPH-IES) with multi-type energy storage devices including electric, thermal and hydrogen is presented in this paper. The chance-constrained programming (CCP) theory is utilized to model the impact of renewable and load uncertainties on reserve constraints. Considering the non-convex of proposed CCP model, an improved discretized step transformation (DST) method is proposed to transform the CCP problem into a solvable mixed integer linear programming (MILP) formulation. In addition, a critical threshold value selection approach is developed to reduce the number of constraints and improve solution efficiency. Case studies demonstrate that the proposed energy-reserve model can reduce the total operating cost on the premise of ensuring the safety of system operation. The combined improved DST and critical threshold value selection method can reduce computational burden and improve the accuracy of scheduling results.
•An optimal energy-reserve scheduling model of WPH-IES is proposed.•The multi-type energy storage devices are considered.•An improved discretized step transformation method is proposed. |
| Author | Su, Yunche Xiang, Yue Xu, Weiting Liu, Jiawei Li, Ting Wu, Gang Liu, Fang |
| Author_xml | – sequence: 1 givenname: Gang surname: Wu fullname: Wu, Gang email: scu_gw@163.com organization: State Grid Sichuan Economic Research Institute, Chengdu, 610041, China – sequence: 2 givenname: Ting surname: Li fullname: Li, Ting organization: State Grid Sichuan Economic Research Institute, Chengdu, 610041, China – sequence: 3 givenname: Weiting surname: Xu fullname: Xu, Weiting organization: Sichuan New Electric Power System Research Institute, Chendgdu, 610041, China – sequence: 4 givenname: Yue orcidid: 0000-0001-8456-1195 surname: Xiang fullname: Xiang, Yue email: xiang@scu.edu.cn organization: College of Electrical Engineering, Sichuan University, Chengdu, 610065, China – sequence: 5 givenname: Yunche surname: Su fullname: Su, Yunche organization: State Grid Sichuan Economic Research Institute, Chengdu, 610041, China – sequence: 6 givenname: Jiawei surname: Liu fullname: Liu, Jiawei organization: State Grid Sichuan Economic Research Institute, Chengdu, 610041, China – sequence: 7 givenname: Fang surname: Liu fullname: Liu, Fang organization: State Grid Sichuan Economic Research Institute, Chengdu, 610041, China |
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| Cites_doi | 10.1016/j.ijepes.2018.07.008 10.1049/iet-gtd.2015.0651 10.1109/TIE.2018.2840498 10.1109/TPWRS.2018.2834461 10.1109/TIE.2018.2863197 10.1016/j.energy.2020.118229 10.1109/TPWRS.2018.2833465 10.1109/TSTE.2021.3077017 10.1109/TSG.2018.2828146 10.1109/TSTE.2018.2843121 10.1109/TSTE.2015.2399855 10.1016/j.apenergy.2004.04.012 10.1109/TSTE.2018.2865562 10.1109/TSG.2020.3023716 10.1109/TSTE.2020.2970078 10.1109/TSG.2020.3009114 10.1109/TSTE.2017.2728098 10.1109/TSTE.2016.2640340 10.1016/j.ijepes.2013.02.028 |
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| Keywords | Reserve scheduling Discretized step transformation (DST) Uncertainties Wind-photovoltaic-hydrogen integrated energy system (WPH-IES) Chance-constrained programming (CCP) |
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| References | Liu, Bie, Liu (bib16) 2017 Bai, Li, Jiang (bib10) 2017; 32 Fang (bib7) 2019; 44 Wang, Huang, Wei (bib6) 2021 Fan, Ai, Piao (bib18) 2016; 10 Li, Zhang, Chen (bib8) 2018; 9 Huo, Gu, Ma (bib12) 2019; 66 bib27 Wang, Zhang (bib21) 2017; 8 Li, Yang, Li (bib20) 2019; 66 Alabdulwahab, Abusorrah, Zhang (bib9) 2015; 6 Xu, Zhuan (bib19) 2013; 51 Zhou, Wei, Yong (bib23) 2019; 10 Hassan, Ramadan, Saleh (bib5) 2021 Zao, Liu, Wu (bib25) 2021; 12 Wu, Xiang, Liu (bib26) 2020; 207 Liu, Bie, Wang (bib24) 2019; 10 Martínez Ceseña, Mancarella (bib11) 2019; 10 Odetayo, Kazemi, MacCormack (bib14) 2018; 33 Pan, Gu, Lu (bib4) 2020; 11 Thorin, Brand, Weber (bib22) 2005; 81 Shui, Gao, Wang (bib13) 2019; 104 Du, Zhang, Hodge (bib1) 2018; 33 Tao, Qiu, Lai (bib3) 2021; 12 Wang, Huang, Tai (bib2) 2021; 12 Wu, Gu, Wang (bib17) 2011 Wei, Sun, Ma (bib15) 2018; 4 Liu (10.1016/j.ijhydene.2022.03.084_bib16) 2017 Fan (10.1016/j.ijhydene.2022.03.084_bib18) 2016; 10 Liu (10.1016/j.ijhydene.2022.03.084_bib24) 2019; 10 Wei (10.1016/j.ijhydene.2022.03.084_bib15) 2018; 4 Wu (10.1016/j.ijhydene.2022.03.084_bib17) 2011 Pan (10.1016/j.ijhydene.2022.03.084_bib4) 2020; 11 Tao (10.1016/j.ijhydene.2022.03.084_bib3) 2021; 12 Hassan (10.1016/j.ijhydene.2022.03.084_bib5) 2021 Martínez Ceseña (10.1016/j.ijhydene.2022.03.084_bib11) 2019; 10 Alabdulwahab (10.1016/j.ijhydene.2022.03.084_bib9) 2015; 6 Shui (10.1016/j.ijhydene.2022.03.084_bib13) 2019; 104 Thorin (10.1016/j.ijhydene.2022.03.084_bib22) 2005; 81 Du (10.1016/j.ijhydene.2022.03.084_bib1) 2018; 33 Wu (10.1016/j.ijhydene.2022.03.084_bib26) 2020; 207 Bai (10.1016/j.ijhydene.2022.03.084_bib10) 2017; 32 Xu (10.1016/j.ijhydene.2022.03.084_bib19) 2013; 51 Wang (10.1016/j.ijhydene.2022.03.084_bib2) 2021; 12 Huo (10.1016/j.ijhydene.2022.03.084_bib12) 2019; 66 Wang (10.1016/j.ijhydene.2022.03.084_bib6) 2021 Odetayo (10.1016/j.ijhydene.2022.03.084_bib14) 2018; 33 Li (10.1016/j.ijhydene.2022.03.084_bib20) 2019; 66 Zao (10.1016/j.ijhydene.2022.03.084_bib25) 2021; 12 Wang (10.1016/j.ijhydene.2022.03.084_bib21) 2017; 8 Li (10.1016/j.ijhydene.2022.03.084_bib8) 2018; 9 Zhou (10.1016/j.ijhydene.2022.03.084_bib23) 2019; 10 Fang (10.1016/j.ijhydene.2022.03.084_bib7) 2019; 44 |
| References_xml | – volume: 33 start-page: 6883 year: 2018 end-page: 6893 ident: bib14 article-title: A chance constrained programming approach to the integrated planning of electric power generation, natural gas network and storage[J] publication-title: IEEE Trans Power Syst – volume: 10 start-page: 1122 year: 2019 end-page: 1131 ident: bib11 article-title: Energy systems integration in smart districts: robust optimisation of multi-energy flows in integrated electricity, heat and gas networks[J] publication-title: IEEE Trans Smart Grid – start-page: 1 year: 2021 ident: bib6 article-title: Day-ahead optimal economic dispatching of integrated port energy systems considering hydrogen[J] publication-title: IEEE Trans Ind Appl – volume: 51 start-page: 82 year: 2013 end-page: 88 ident: bib19 article-title: Identifying the optimum wind capacity for a power system with interconnection lines[J] publication-title: Int J Electr Power Energy Syst – volume: 44 year: 2019 ident: bib7 article-title: Multi-objective optimized operation of integrated energy system with hydrogen storage[J] publication-title: Int J Hydrogen Energy – volume: 81 year: 2005 ident: bib22 article-title: Long-term optimization of cogeneration systems in a competitive market environment[J] publication-title: Appl Energy – volume: 10 start-page: 1300 year: 2019 end-page: 1310 ident: bib23 article-title: Integrated power and heat dispatch considering available reserve of combined heat and power units[J] publication-title: IEEE Trans Sustain Energy – volume: 10 start-page: 205 year: 2016 end-page: 212 ident: bib18 article-title: Fuzzy day-ahead scheduling of virtual power plant with optimal confidence level[J]. IET Generation publication-title: Transm Distrib – volume: 207 start-page: 118229 year: 2020 ident: bib26 article-title: Distributed energy-reserve Co-Optimization of electricity and natural gas systems with multi-type reserve resources[J] publication-title: Energy – volume: 104 year: 2019 ident: bib13 article-title: A data-driven distributionally robust coordinated dispatch model for integrated power and heating systems considering wind power uncertainties[J] publication-title: Int J Electr Power Energy Syst – volume: 33 start-page: 6630 year: 2018 end-page: 6641 ident: bib1 article-title: The role of concentrating solar power toward high renewable energy penetrated power systems[J] publication-title: IEEE Trans Power Syst – start-page: 149 year: 2021 ident: bib5 article-title: Hydrogen storage technologies for stationary and mobile applications: review, analysis and perspectives[J] – volume: 6 start-page: 606 year: 2015 end-page: 615 ident: bib9 article-title: Coordination of interdependent natural gas and electricity infrastructures for firming the variability of wind energy in stochastic day-ahead scheduling[J] publication-title: IEEE Trans Sustain Energy – volume: 66 start-page: 1402 year: 2019 end-page: 1412 ident: bib12 article-title: Chance-constrained optimization for multienergy hub systems in a smart city[J] publication-title: IEEE Trans Ind Electron – start-page: 188 year: 2017 ident: bib16 article-title: Day-ahead optimal dispatch for wind integrated power system considering zonal reserve requirements[J] – volume: 66 start-page: 1565 year: 2019 end-page: 1575 ident: bib20 article-title: Optimal scheduling of an isolated microgrid with battery storage considering load and renewable generation uncertainties[J] publication-title: IEEE Trans Ind Electron – volume: 10 start-page: 646 year: 2019 end-page: 658 ident: bib24 article-title: Day-ahead dispatch of integrated electricity and natural gas system considering reserve scheduling and renewable uncertainties[J] publication-title: IEEE Trans Sustain Energy – volume: 32 start-page: 1582 year: 2017 end-page: 1584 ident: bib10 article-title: Robust scheduling for wind integrated energy systems considering gas pipeline and power transmission N–1 contingencies[J] publication-title: IEEE Trans Power Syst – volume: 4 year: 2018 ident: bib15 article-title: Chance-constrained coordinated optimization for urban electricity and heat networks[J] publication-title: CSEE J. Power Energy Syst – volume: 12 start-page: 2042 year: 2021 end-page: 2052 ident: bib2 article-title: Two-stage full-data processing for microgrid planning with high penetrations of renewable energy sources[J] publication-title: IEEE Trans Sustain Energy – volume: 9 start-page: 273 year: 2018 end-page: 283 ident: bib8 article-title: Optimal stochastic operation of integrated low-carbon electric power, natural gas, and heat delivery system[J] publication-title: IEEE Trans Sustain Energy – volume: 8 start-page: 1000 year: 2017 end-page: 1009 ident: bib21 article-title: Dependent discrete convolution based probabilistic load flow for the active distribution system[J] publication-title: IEEE Trans Sustain Energy – volume: 11 start-page: 2662 year: 2020 end-page: 2676 ident: bib4 article-title: Optimal planning for electricity-hydrogen integrated energy system considering power to hydrogen and heat and seasonal storage[J] publication-title: IEEE Trans Sustain Energy – year: 2011 ident: bib17 article-title: Economic optimal schedule of CHP microgrid system using chance constrained programming and particle swarm optimization: 2011 – volume: 12 start-page: 372 year: 2021 end-page: 382 ident: bib25 article-title: Reserve model of energy storage in day-ahead joint energy and reserve markets: a stochastic UC solution[J] publication-title: IEEE Trans Smart Grid – ident: bib27 – volume: 12 start-page: 1149 year: 2021 end-page: 1162 ident: bib3 article-title: Integrated electricity and hydrogen energy sharing in coupled energy systems[J] publication-title: IEEE Trans Smart Grid – volume: 104 year: 2019 ident: 10.1016/j.ijhydene.2022.03.084_bib13 article-title: A data-driven distributionally robust coordinated dispatch model for integrated power and heating systems considering wind power uncertainties[J] publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2018.07.008 – volume: 10 start-page: 205 issue: 1 year: 2016 ident: 10.1016/j.ijhydene.2022.03.084_bib18 article-title: Fuzzy day-ahead scheduling of virtual power plant with optimal confidence level[J]. IET Generation publication-title: Transm Distrib doi: 10.1049/iet-gtd.2015.0651 – volume: 66 start-page: 1565 issue: 2 year: 2019 ident: 10.1016/j.ijhydene.2022.03.084_bib20 article-title: Optimal scheduling of an isolated microgrid with battery storage considering load and renewable generation uncertainties[J] publication-title: IEEE Trans Ind Electron doi: 10.1109/TIE.2018.2840498 – volume: 33 start-page: 6630 issue: 6 year: 2018 ident: 10.1016/j.ijhydene.2022.03.084_bib1 article-title: The role of concentrating solar power toward high renewable energy penetrated power systems[J] publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2018.2834461 – volume: 66 start-page: 1402 issue: 2 year: 2019 ident: 10.1016/j.ijhydene.2022.03.084_bib12 article-title: Chance-constrained optimization for multienergy hub systems in a smart city[J] publication-title: IEEE Trans Ind Electron doi: 10.1109/TIE.2018.2863197 – volume: 4 issue: 4 year: 2018 ident: 10.1016/j.ijhydene.2022.03.084_bib15 article-title: Chance-constrained coordinated optimization for urban electricity and heat networks[J] publication-title: CSEE J. Power Energy Syst – volume: 207 start-page: 118229 year: 2020 ident: 10.1016/j.ijhydene.2022.03.084_bib26 article-title: Distributed energy-reserve Co-Optimization of electricity and natural gas systems with multi-type reserve resources[J] publication-title: Energy doi: 10.1016/j.energy.2020.118229 – volume: 33 start-page: 6883 issue: 6 year: 2018 ident: 10.1016/j.ijhydene.2022.03.084_bib14 article-title: A chance constrained programming approach to the integrated planning of electric power generation, natural gas network and storage[J] publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2018.2833465 – start-page: 149 year: 2021 ident: 10.1016/j.ijhydene.2022.03.084_bib5 – volume: 12 start-page: 2042 issue: 4 year: 2021 ident: 10.1016/j.ijhydene.2022.03.084_bib2 article-title: Two-stage full-data processing for microgrid planning with high penetrations of renewable energy sources[J] publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2021.3077017 – volume: 44 issue: 56 year: 2019 ident: 10.1016/j.ijhydene.2022.03.084_bib7 article-title: Multi-objective optimized operation of integrated energy system with hydrogen storage[J] publication-title: Int J Hydrogen Energy – volume: 10 start-page: 1122 issue: 1 year: 2019 ident: 10.1016/j.ijhydene.2022.03.084_bib11 article-title: Energy systems integration in smart districts: robust optimisation of multi-energy flows in integrated electricity, heat and gas networks[J] publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2018.2828146 – volume: 10 start-page: 646 issue: 2 year: 2019 ident: 10.1016/j.ijhydene.2022.03.084_bib24 article-title: Day-ahead dispatch of integrated electricity and natural gas system considering reserve scheduling and renewable uncertainties[J] publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2018.2843121 – volume: 6 start-page: 606 issue: 2 year: 2015 ident: 10.1016/j.ijhydene.2022.03.084_bib9 article-title: Coordination of interdependent natural gas and electricity infrastructures for firming the variability of wind energy in stochastic day-ahead scheduling[J] publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2015.2399855 – volume: 81 issue: 2 year: 2005 ident: 10.1016/j.ijhydene.2022.03.084_bib22 article-title: Long-term optimization of cogeneration systems in a competitive market environment[J] publication-title: Appl Energy doi: 10.1016/j.apenergy.2004.04.012 – start-page: 188 year: 2017 ident: 10.1016/j.ijhydene.2022.03.084_bib16 – volume: 10 start-page: 1300 issue: 3 year: 2019 ident: 10.1016/j.ijhydene.2022.03.084_bib23 article-title: Integrated power and heat dispatch considering available reserve of combined heat and power units[J] publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2018.2865562 – volume: 12 start-page: 1149 issue: 2 year: 2021 ident: 10.1016/j.ijhydene.2022.03.084_bib3 article-title: Integrated electricity and hydrogen energy sharing in coupled energy systems[J] publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2020.3023716 – volume: 11 start-page: 2662 issue: 4 year: 2020 ident: 10.1016/j.ijhydene.2022.03.084_bib4 article-title: Optimal planning for electricity-hydrogen integrated energy system considering power to hydrogen and heat and seasonal storage[J] publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2020.2970078 – volume: 12 start-page: 372 issue: 1 year: 2021 ident: 10.1016/j.ijhydene.2022.03.084_bib25 article-title: Reserve model of energy storage in day-ahead joint energy and reserve markets: a stochastic UC solution[J] publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2020.3009114 – volume: 32 start-page: 1582 issue: 2 year: 2017 ident: 10.1016/j.ijhydene.2022.03.084_bib10 article-title: Robust scheduling for wind integrated energy systems considering gas pipeline and power transmission N–1 contingencies[J] publication-title: IEEE Trans Power Syst – year: 2011 ident: 10.1016/j.ijhydene.2022.03.084_bib17 – start-page: 1 year: 2021 ident: 10.1016/j.ijhydene.2022.03.084_bib6 article-title: Day-ahead optimal economic dispatching of integrated port energy systems considering hydrogen[J] publication-title: IEEE Trans Ind Appl – volume: 9 start-page: 273 issue: 1 year: 2018 ident: 10.1016/j.ijhydene.2022.03.084_bib8 article-title: Optimal stochastic operation of integrated low-carbon electric power, natural gas, and heat delivery system[J] publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2017.2728098 – volume: 8 start-page: 1000 issue: 3 year: 2017 ident: 10.1016/j.ijhydene.2022.03.084_bib21 article-title: Dependent discrete convolution based probabilistic load flow for the active distribution system[J] publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2016.2640340 – volume: 51 start-page: 82 year: 2013 ident: 10.1016/j.ijhydene.2022.03.084_bib19 article-title: Identifying the optimum wind capacity for a power system with interconnection lines[J] publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2013.02.028 |
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| SubjectTerms | Chance-constrained programming (CCP) Discretized step transformation (DST) Reserve scheduling Uncertainties Wind-photovoltaic-hydrogen integrated energy system (WPH-IES) |
| Title | Chance-constrained energy-reserve co-optimization scheduling of wind-photovoltaic-hydrogen integrated energy systems |
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