Research on source-load uncertainty optimal scheduling based on a hybrid robust multi-interval optimization method
The new power systems(NPS) play an important role in enabling the efficient use of clean energy. In order to improve the operation economy, reliability and efficient consumption of renewable energy of NPS, a hybrid multi-interval robust optimization model was proposed. First, the model takes into ac...
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| Veröffentlicht in: | Renewable energy Jg. 251; S. 123316 |
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| Sprache: | Englisch |
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01.10.2025
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| ISSN: | 0960-1481 |
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| Abstract | The new power systems(NPS) play an important role in enabling the efficient use of clean energy. In order to improve the operation economy, reliability and efficient consumption of renewable energy of NPS, a hybrid multi-interval robust optimization model was proposed. First, the model takes into account the improved thermal power flexible conversion energy cost model, and designs the output efficiency interval model of wind farm and photovoltaic power station considering the impact of equipment maintenance and failure. Compared with traditional models, these models can more accurately reflect the energy consumption cost and actual output of power supply equipment. Secondly, a hybrid multi-interval robust optimization model is proposed to improve the conservatism of traditional interval optimization methods. In addition, in order to improve the solving efficiency, this paper introduces the adaptive compression particle swarm optimization algorithm to overcome the problem that the traditional optimization algorithm is easy to fall into the local optimal solution. Finally, the IEEE30-node system is taken as an example for simulation verification. The results show that the proposed method can effectively reduce the adverse effects caused by the uncertainty of source and load, and improve the absorption rate of wind power and photovoltaic. |
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| AbstractList | The new power systems(NPS) play an important role in enabling the efficient use of clean energy. In order to improve the operation economy, reliability and efficient consumption of renewable energy of NPS, a hybrid multi-interval robust optimization model was proposed. First, the model takes into account the improved thermal power flexible conversion energy cost model, and designs the output efficiency interval model of wind farm and photovoltaic power station considering the impact of equipment maintenance and failure. Compared with traditional models, these models can more accurately reflect the energy consumption cost and actual output of power supply equipment. Secondly, a hybrid multi-interval robust optimization model is proposed to improve the conservatism of traditional interval optimization methods. In addition, in order to improve the solving efficiency, this paper introduces the adaptive compression particle swarm optimization algorithm to overcome the problem that the traditional optimization algorithm is easy to fall into the local optimal solution. Finally, the IEEE30-node system is taken as an example for simulation verification. The results show that the proposed method can effectively reduce the adverse effects caused by the uncertainty of source and load, and improve the absorption rate of wind power and photovoltaic. |
| ArticleNumber | 123316 |
| Author | Wang, Bo Zhao, Zhuang Wu, Jiahui Wang, Rui |
| Author_xml | – sequence: 1 givenname: Zhuang surname: Zhao fullname: Zhao, Zhuang organization: State Centre for Engineering Research, Ministry of Education for Renewable Energy Generation and Grid-Connected Control (Xinjiang University), Urumqi 830047, China – sequence: 2 givenname: Jiahui surname: Wu fullname: Wu, Jiahui email: wjh229@xju.edu.cn organization: State Centre for Engineering Research, Ministry of Education for Renewable Energy Generation and Grid-Connected Control (Xinjiang University), Urumqi 830047, China – sequence: 3 givenname: Bo surname: Wang fullname: Wang, Bo organization: CGN Wind Power Co., LTD, China – sequence: 4 givenname: Rui surname: Wang fullname: Wang, Rui organization: CGN Wind Power Co., LTD, China |
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| Cites_doi | 10.1016/j.energy.2020.119629 10.1109/TPWRS.2023.3267097 10.1109/4235.985692 10.1109/TSG.2018.2879520 10.1016/j.est.2021.102819 10.1109/TSG.2022.3211449 10.1109/TPWRS.2013.2245924 10.1016/j.renene.2024.121874 10.1109/TSG.2019.2923984 10.1016/j.ijepes.2020.105941 10.1016/j.jclepro.2024.140937 10.1007/s00202-023-01890-8 10.1016/j.ejor.2007.03.031 10.1109/TSG.2022.3228700 10.1109/4235.797969 10.1504/IJICA.2022.121387 10.1049/enc2.12094 10.1109/TIA.2018.2844363 10.1016/j.jclepro.2024.140583 10.1016/j.apenergy.2024.123869 10.1016/j.energy.2024.134058 10.1016/j.ijepes.2021.107895 10.1109/TSG.2018.2865621 10.17775/CSEEJPES.2016.00011 10.1109/TSG.2023.3332139 10.1109/TSG.2017.2787790 10.1016/j.apenergy.2024.124433 10.3390/math12213326 |
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| Keywords | New power system Multi-interval efficiency coefficient Improved particle swarm Flexible transformation Source load uncertainty Multi-interval robust optimization |
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| References | Liu, Wang, Zhang (bib27) 2024; 237 Su, Liu, Wang, Zhang, Li, Chen (bib18) 2023; 14 Zeng, Gong, Xiao (bib2) 2024; 86 Wendi, Wei, Bingkang (bib6) 2023; 105 Clerc, Kennedy (bib32) 2002; 6 Lu, Gu, Jiang (bib16) 2024; 39 Xie, Cai, Liu (bib29) 2019; 10 Huang, Yue, Xie (bib21) 2016; 2 Li, Wang, Gooi (bib4) 2019; 10 Mei, Zhang, Lu (bib13) 2021; 219 Zitzler, Thiele (bib34) 1999; 3 Qiu, Gu, Xu (bib5) 2019; 10 Bai, Cheng, Yao (bib9) 2024; 121 Zhang, Li, Ji (bib26) 2023; 4 Zeng, Gong, Xiao (bib8) 2024; 86 Jianjun, Shuo, Jikun (bib11) 2021; 315 Jiang, Wan, Chen (bib23) 2020; 11 Jiang, Han, Liu (bib30) 2008; 188 Konda, Mukkapati, Panwar, Panigrahi, Kumar (bib7) 2018; 54 Yang, Wang, Chen (bib20) 2024; 313 Albalawi, Wadood, Park (bib33) 2024; 12 Linjun, Jiazhu, Min (bib3) 2022; 138 Lu, Wang, Yan (bib14) 2021; 40 Li, Hu, Wang (bib1) 2024; 438 Yansong, Jizhen, Yong (bib10) 2024; 288 Vera, Cañizares, Pirnia (bib15) 2023; 14 Zeng, Xu, Wu (bib22) 2022; 138 Yingchao, Hongli, Ping (bib24) 2023; 274 Song, Zhong (bib25) 2024; 442 Qiu, Liu, Gu (bib19) 2024; 15 Yadav, Gupta (bib31) 2022; 13 Yue, Liao, Xu (bib12) 2024; 373 Wang, Yang, Tang (bib17) 2020; 119 Lai, Song, Zheng (bib28) 2025; 377 ShenXi, HaoZhong, LiBo (bib35) 2013; 28 Zhang (10.1016/j.renene.2025.123316_bib26) 2023; 4 Li (10.1016/j.renene.2025.123316_bib4) 2019; 10 Jianjun (10.1016/j.renene.2025.123316_bib11) 2021; 315 Xie (10.1016/j.renene.2025.123316_bib29) 2019; 10 Bai (10.1016/j.renene.2025.123316_bib9) 2024; 121 Wendi (10.1016/j.renene.2025.123316_bib6) 2023; 105 Lu (10.1016/j.renene.2025.123316_bib14) 2021; 40 Huang (10.1016/j.renene.2025.123316_bib21) 2016; 2 Lai (10.1016/j.renene.2025.123316_bib28) 2025; 377 Lu (10.1016/j.renene.2025.123316_bib16) 2024; 39 Li (10.1016/j.renene.2025.123316_bib1) 2024; 438 Qiu (10.1016/j.renene.2025.123316_bib5) 2019; 10 Liu (10.1016/j.renene.2025.123316_bib27) 2024; 237 Song (10.1016/j.renene.2025.123316_bib25) 2024; 442 Konda (10.1016/j.renene.2025.123316_bib7) 2018; 54 Zitzler (10.1016/j.renene.2025.123316_bib34) 1999; 3 Jiang (10.1016/j.renene.2025.123316_bib23) 2020; 11 Albalawi (10.1016/j.renene.2025.123316_bib33) 2024; 12 Vera (10.1016/j.renene.2025.123316_bib15) 2023; 14 Zeng (10.1016/j.renene.2025.123316_bib22) 2022; 138 Clerc (10.1016/j.renene.2025.123316_bib32) 2002; 6 Yansong (10.1016/j.renene.2025.123316_bib10) 2024; 288 Su (10.1016/j.renene.2025.123316_bib18) 2023; 14 Zeng (10.1016/j.renene.2025.123316_bib8) 2024; 86 Qiu (10.1016/j.renene.2025.123316_bib19) 2024; 15 Jiang (10.1016/j.renene.2025.123316_bib30) 2008; 188 Yingchao (10.1016/j.renene.2025.123316_bib24) 2023; 274 Yue (10.1016/j.renene.2025.123316_bib12) 2024; 373 Zeng (10.1016/j.renene.2025.123316_bib2) 2024; 86 Linjun (10.1016/j.renene.2025.123316_bib3) 2022; 138 Wang (10.1016/j.renene.2025.123316_bib17) 2020; 119 Yadav (10.1016/j.renene.2025.123316_bib31) 2022; 13 Mei (10.1016/j.renene.2025.123316_bib13) 2021; 219 Yang (10.1016/j.renene.2025.123316_bib20) 2024; 313 ShenXi (10.1016/j.renene.2025.123316_bib35) 2013; 28 |
| References_xml | – volume: 119 year: 2020 ident: bib17 article-title: A wasserstein based two-stage distributionally robust optimization model for optimal operation of CCHP microgrid under uncertainties publication-title: Int. J. Electr. Power Energy Syst. – volume: 11 start-page: 440 year: 2020 end-page: 456 ident: bib23 article-title: A hybrid stochastic-interval operation strategy for multi-energy microgrids publication-title: IEEE Trans. Smart Grid – volume: 3 start-page: 257 year: 1999 end-page: 271 ident: bib34 article-title: Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach publication-title: IEEE Trans. Evol. Comput. – volume: 105 start-page: 3423 year: 2023 end-page: 3432 ident: bib6 article-title: Flexibility transformation strategy of thermal power units for typical scenario considering wind and solar consumption based on generalized benders decomposition algorithm publication-title: Electrical Engineering – volume: 28 start-page: 3215 year: 2013 end-page: 3225 ident: bib35 article-title: Probabilistic evaluation of available load supply capability for distribution system publication-title: IEEE Trans. Power Syst. – volume: 86 year: 2024 ident: bib2 article-title: Research on interval optimization of power system considering shared energy storage and demand response publication-title: J. Energy Storage – volume: 313 start-page: 134058 year: 2024 ident: bib20 article-title: Data-driven robust optimization scheduling for microgrid day-ahead to intra-day operations based on renewable energy interval prediction publication-title: Energy – volume: 14 start-page: 2786 year: 2023 end-page: 2797 ident: bib18 article-title: Multi-stage robust dispatch considering demand response under decision-dependent uncertainty publication-title: IEEE Trans. Smart Grid – volume: 10 start-page: 5234 year: 2019 end-page: 5245 ident: bib29 article-title: Microgrid system energy storage capacity optimization considering multiple time scale uncertainty coupling publication-title: IEEE Trans. Smart Grid – volume: 39 start-page: 779 year: 2024 end-page: 793 ident: bib16 article-title: Sample-adaptive robust economic dispatch with statistically feasible guarantees publication-title: IEEE Trans. Power Syst. – volume: 442 year: 2024 ident: bib25 article-title: Enhancing envrionmental sustainability via interval optimization for low-carbon economic dispatch in renewable energy power systems: leveraging the flexible cooperation of wind energy and carbon capture power plants publication-title: J. Clean. Prod. – volume: 4 start-page: 267 year: 2023 end-page: 275 ident: bib26 article-title: Optimal dispatching of electric‐heat‐hydrogen integrated energy system based on stackelberg game publication-title: Energy Conversion and Economics – volume: 138 year: 2022 ident: bib3 article-title: Day-ahead interval optimization for CCHP system considering uncertainty of wind power and PV publication-title: Int. J. Electr. Power Energy Syst. – volume: 138 year: 2022 ident: bib22 article-title: Day-ahead interval optimization for CCHP system considering uncertainty of wind power and PV publication-title: Int. J. Electr. Power Energy Syst. – volume: 12 start-page: 3326 year: 2024 ident: bib33 article-title: Economic load dispatch problem analysis based on modified moth flame optimizer (MMFO) considering emission and wind power publication-title: Mathematics – volume: 6 start-page: 58 year: 2002 end-page: 73 ident: bib32 article-title: The particle swarm-explosion,stability,and convergence in a multidimensional complex space publication-title: IEEE Trans. Evol. Comput. – volume: 10 start-page: 4603 year: 2019 end-page: 4614 ident: bib5 article-title: nterval-Partitioned uncertainty constrained robust dispatch for AC/DC hybrid microgrids with uncontrollable renewable generators publication-title: IEEE Trans. Smart Grid – volume: 121 start-page: 3381 year: 2024 end-page: 3400 ident: bib9 article-title: Three-level optimal scheduling and power allocation strategy for power system containing wind-storage combined unit publication-title: Energy Eng. J. Assoc. Energy Eng. – volume: 13 start-page: 34 year: 2022 end-page: 40 ident: bib31 article-title: Modified adaptive inertia weight particle swarm optimisation for data clustering publication-title: Int. J. Innovat. Comput. Appl. – volume: 373 start-page: 306 year: 2024 end-page: 2619 ident: bib12 article-title: Collaborative optimization of renewable energy power systems integrating electrolytic aluminum load regulation and thermal power deep peak shaving publication-title: Appl. Energy – volume: 14 start-page: 1723 year: 2023 end-page: 1735 ident: bib15 article-title: Two-stage stochastic optimization model for multi-microgrid planning publication-title: IEEE Trans. Smart Grid – volume: 2 start-page: 74 year: 2016 end-page: 80 ident: bib21 article-title: Economic dispatch of power systems with virtual power plant based interval optimization method publication-title: CSEE J. Power Energy Syst – volume: 438 year: 2024 ident: bib1 article-title: Estimating the impacts of a new power system on electricity prices under dual carbon targets publication-title: J. Clean. Prod. – volume: 237 start-page: 121874 year: 2024 ident: bib27 article-title: Optimization scheduling of off-grid hybrid renewable energy systems based on dung beetle optimizer with convergence factor and mathematical spiral publication-title: Renew. Energy – volume: 40 year: 2021 ident: bib14 article-title: Multi-objective optimization of combined cooling, heating and power system considering the collaboration of thermal energy storage with load uncertainties publication-title: J. Energy Storage – volume: 219 year: 2021 ident: bib13 article-title: Stochastic optimal operation model for a distributed integrated energy system based on multiple- scenario simulations publication-title: Energy – volume: 377 start-page: 124433 year: 2025 ident: bib28 article-title: The study of optimal reactive power dispatch in power systems based on further improved membrane search algorithm publication-title: Appl. Energy – volume: 86 year: 2024 ident: bib8 article-title: Research on interval optimization of power system considering shared energy storage and demand response publication-title: J. Energy Storage – volume: 10 start-page: 2046 year: 2019 end-page: 2058 ident: bib4 article-title: Multi-objective optimal dispatch of microgrid under uncertainties via interval optimization publication-title: IEEE Trans. Smart Grid – volume: 54 start-page: 4908 year: 2018 end-page: 4916 ident: bib7 article-title: Dynamic energy balancing cost model for day ahead markets with uncertain wind energy and generation contingency under demand response publication-title: IEEE Trans. Ind. Appl. – volume: 15 start-page: 2804 year: 2024 end-page: 2818 ident: bib19 article-title: Incorporating data-driven demand-price uncertainty correlations into microgrid optimal dispatch publication-title: IEEE Trans. Smart Grid – volume: 188 start-page: 1 year: 2008 end-page: 13 ident: bib30 article-title: A nonlinear interval num-ber programming method for uncertain optimization problems publication-title: Eur. J. Oper. Res. – volume: 288 year: 2024 ident: bib10 article-title: Distributionally robust optimization model considering deep peak shaving and uncertainty of renewable energy publication-title: Energy – volume: 315 start-page: 959 year: 2021 end-page: 6526 ident: bib11 article-title: Dispatch optimization of thermal power unit flexibility transformation under the deep peak shaving demand based on invasive weed optimization publication-title: J. Clean. Prod. – volume: 274 year: 2023 ident: bib24 article-title: A hybrid robust-interval optimization approach for integrated energy systems planning under uncertainties publication-title: Energy – volume: 219 year: 2021 ident: 10.1016/j.renene.2025.123316_bib13 article-title: Stochastic optimal operation model for a distributed integrated energy system based on multiple- scenario simulations publication-title: Energy doi: 10.1016/j.energy.2020.119629 – volume: 39 start-page: 779 issue: 1 year: 2024 ident: 10.1016/j.renene.2025.123316_bib16 article-title: Sample-adaptive robust economic dispatch with statistically feasible guarantees publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2023.3267097 – volume: 6 start-page: 58 issue: 1 year: 2002 ident: 10.1016/j.renene.2025.123316_bib32 article-title: The particle swarm-explosion,stability,and convergence in a multidimensional complex space publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.985692 – volume: 10 start-page: 5234 year: 2019 ident: 10.1016/j.renene.2025.123316_bib29 article-title: Microgrid system energy storage capacity optimization considering multiple time scale uncertainty coupling publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2018.2879520 – volume: 40 year: 2021 ident: 10.1016/j.renene.2025.123316_bib14 article-title: Multi-objective optimization of combined cooling, heating and power system considering the collaboration of thermal energy storage with load uncertainties publication-title: J. Energy Storage doi: 10.1016/j.est.2021.102819 – volume: 14 start-page: 1723 issue: 3 year: 2023 ident: 10.1016/j.renene.2025.123316_bib15 article-title: Two-stage stochastic optimization model for multi-microgrid planning publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2022.3211449 – volume: 28 start-page: 3215 issue: 3 year: 2013 ident: 10.1016/j.renene.2025.123316_bib35 article-title: Probabilistic evaluation of available load supply capability for distribution system publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2013.2245924 – volume: 237 start-page: 121874 issue: PD year: 2024 ident: 10.1016/j.renene.2025.123316_bib27 article-title: Optimization scheduling of off-grid hybrid renewable energy systems based on dung beetle optimizer with convergence factor and mathematical spiral publication-title: Renew. Energy doi: 10.1016/j.renene.2024.121874 – volume: 11 start-page: 440 issue: 1 year: 2020 ident: 10.1016/j.renene.2025.123316_bib23 article-title: A hybrid stochastic-interval operation strategy for multi-energy microgrids publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2019.2923984 – volume: 86 issue: PB year: 2024 ident: 10.1016/j.renene.2025.123316_bib2 article-title: Research on interval optimization of power system considering shared energy storage and demand response publication-title: J. Energy Storage – volume: 119 year: 2020 ident: 10.1016/j.renene.2025.123316_bib17 article-title: A wasserstein based two-stage distributionally robust optimization model for optimal operation of CCHP microgrid under uncertainties publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2020.105941 – volume: 442 year: 2024 ident: 10.1016/j.renene.2025.123316_bib25 article-title: Enhancing envrionmental sustainability via interval optimization for low-carbon economic dispatch in renewable energy power systems: leveraging the flexible cooperation of wind energy and carbon capture power plants publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2024.140937 – volume: 105 start-page: 3423 issue: 6 year: 2023 ident: 10.1016/j.renene.2025.123316_bib6 article-title: Flexibility transformation strategy of thermal power units for typical scenario considering wind and solar consumption based on generalized benders decomposition algorithm publication-title: Electrical Engineering doi: 10.1007/s00202-023-01890-8 – volume: 188 start-page: 1 issue: 1 year: 2008 ident: 10.1016/j.renene.2025.123316_bib30 article-title: A nonlinear interval num-ber programming method for uncertain optimization problems publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2007.03.031 – volume: 14 start-page: 2786 issue: 4 year: 2023 ident: 10.1016/j.renene.2025.123316_bib18 article-title: Multi-stage robust dispatch considering demand response under decision-dependent uncertainty publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2022.3228700 – volume: 3 start-page: 257 year: 1999 ident: 10.1016/j.renene.2025.123316_bib34 article-title: Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.797969 – volume: 13 start-page: 34 issue: 1 year: 2022 ident: 10.1016/j.renene.2025.123316_bib31 article-title: Modified adaptive inertia weight particle swarm optimisation for data clustering publication-title: Int. J. Innovat. Comput. Appl. doi: 10.1504/IJICA.2022.121387 – volume: 4 start-page: 267 issue: 4 year: 2023 ident: 10.1016/j.renene.2025.123316_bib26 article-title: Optimal dispatching of electric‐heat‐hydrogen integrated energy system based on stackelberg game publication-title: Energy Conversion and Economics doi: 10.1049/enc2.12094 – volume: 54 start-page: 4908 issue: 5 year: 2018 ident: 10.1016/j.renene.2025.123316_bib7 article-title: Dynamic energy balancing cost model for day ahead markets with uncertain wind energy and generation contingency under demand response publication-title: IEEE Trans. Ind. Appl. doi: 10.1109/TIA.2018.2844363 – volume: 86 issue: PB year: 2024 ident: 10.1016/j.renene.2025.123316_bib8 article-title: Research on interval optimization of power system considering shared energy storage and demand response publication-title: J. Energy Storage – volume: 288 year: 2024 ident: 10.1016/j.renene.2025.123316_bib10 article-title: Distributionally robust optimization model considering deep peak shaving and uncertainty of renewable energy publication-title: Energy – volume: 438 year: 2024 ident: 10.1016/j.renene.2025.123316_bib1 article-title: Estimating the impacts of a new power system on electricity prices under dual carbon targets publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2024.140583 – volume: 373 start-page: 306 year: 2024 ident: 10.1016/j.renene.2025.123316_bib12 article-title: Collaborative optimization of renewable energy power systems integrating electrolytic aluminum load regulation and thermal power deep peak shaving publication-title: Appl. Energy doi: 10.1016/j.apenergy.2024.123869 – volume: 313 start-page: 134058 year: 2024 ident: 10.1016/j.renene.2025.123316_bib20 article-title: Data-driven robust optimization scheduling for microgrid day-ahead to intra-day operations based on renewable energy interval prediction publication-title: Energy doi: 10.1016/j.energy.2024.134058 – volume: 138 year: 2022 ident: 10.1016/j.renene.2025.123316_bib22 article-title: Day-ahead interval optimization for CCHP system considering uncertainty of wind power and PV publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2021.107895 – volume: 138 year: 2022 ident: 10.1016/j.renene.2025.123316_bib3 article-title: Day-ahead interval optimization for CCHP system considering uncertainty of wind power and PV publication-title: Int. J. Electr. Power Energy Syst. – volume: 315 start-page: 959 year: 2021 ident: 10.1016/j.renene.2025.123316_bib11 article-title: Dispatch optimization of thermal power unit flexibility transformation under the deep peak shaving demand based on invasive weed optimization publication-title: J. Clean. Prod. – volume: 10 start-page: 4603 year: 2019 ident: 10.1016/j.renene.2025.123316_bib5 article-title: nterval-Partitioned uncertainty constrained robust dispatch for AC/DC hybrid microgrids with uncontrollable renewable generators publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2018.2865621 – volume: 121 start-page: 3381 issue: 11 year: 2024 ident: 10.1016/j.renene.2025.123316_bib9 article-title: Three-level optimal scheduling and power allocation strategy for power system containing wind-storage combined unit publication-title: Energy Eng. J. Assoc. Energy Eng. – volume: 274 year: 2023 ident: 10.1016/j.renene.2025.123316_bib24 article-title: A hybrid robust-interval optimization approach for integrated energy systems planning under uncertainties publication-title: Energy – volume: 2 start-page: 74 issue: 1 year: 2016 ident: 10.1016/j.renene.2025.123316_bib21 article-title: Economic dispatch of power systems with virtual power plant based interval optimization method publication-title: CSEE J. Power Energy Syst doi: 10.17775/CSEEJPES.2016.00011 – volume: 15 start-page: 2804 issue: 3 year: 2024 ident: 10.1016/j.renene.2025.123316_bib19 article-title: Incorporating data-driven demand-price uncertainty correlations into microgrid optimal dispatch publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2023.3332139 – volume: 10 start-page: 2046 year: 2019 ident: 10.1016/j.renene.2025.123316_bib4 article-title: Multi-objective optimal dispatch of microgrid under uncertainties via interval optimization publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2017.2787790 – volume: 377 start-page: 124433 issue: PA year: 2025 ident: 10.1016/j.renene.2025.123316_bib28 article-title: The study of optimal reactive power dispatch in power systems based on further improved membrane search algorithm publication-title: Appl. Energy doi: 10.1016/j.apenergy.2024.124433 – volume: 12 start-page: 3326 issue: 21 year: 2024 ident: 10.1016/j.renene.2025.123316_bib33 article-title: Economic load dispatch problem analysis based on modified moth flame optimizer (MMFO) considering emission and wind power publication-title: Mathematics doi: 10.3390/math12213326 |
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| SubjectTerms | absorption algorithms clean energy energy energy costs equipment maintenance and repair Flexible transformation hybrids Improved particle swarm Multi-interval efficiency coefficient Multi-interval robust optimization New power system power plants solar energy Source load uncertainty system optimization uncertainty wind farms wind power |
| Title | Research on source-load uncertainty optimal scheduling based on a hybrid robust multi-interval optimization method |
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