A bi-level optimization strategy of electricity-hydrogen-carbon integrated energy system considering photovoltaic and wind power uncertainty and demand response
Abstract To address the power supply-demand imbalance caused by the uncertainty in wind turbine and photovoltaic power generation in the regional integrated energy system, this study proposes a bi-level optimization strategy that considers the uncertainties in photovoltaic and wind turbine power gen...
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| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-84605-8 |
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| author | Mingxuan Lu Yun Teng Zhe Chen Yu Song |
| author_facet | Mingxuan Lu Yun Teng Zhe Chen Yu Song |
| author_sort | Mingxuan Lu |
| collection | DOAJ |
| description | Abstract To address the power supply-demand imbalance caused by the uncertainty in wind turbine and photovoltaic power generation in the regional integrated energy system, this study proposes a bi-level optimization strategy that considers the uncertainties in photovoltaic and wind turbine power generation as well as demand response. The upper-level model analyzes these uncertainties by modeling short-term and long-term output errors using robust optimization theory, applies an improved stepwise carbon trading model to control carbon emissions, and finally constructs an electricity-hydrogen-carbon cooperative scheduling optimization model to reduce wind and carbon emissions. The lower-level model incentivizes users to participate in integrated demand response through dynamic energy pricing, thereby reducing the annual consumption cost of load aggregator. The Karush-Kuhn-Tucker conditions and the Big-M method are used to solve the bi-level optimization model. Simulation results indicate that the improved carbon trading model reduces carbon emissions by approximately 40.12 tons per year, a decrease of 1.1%; the prediction accuracy of the short-term error model improves by 6.77%, and the prediction accuracy of the long-term error model improves by 15.16%; the electricity-hydrogen-carbon synergistic dispatch optimization model enhances the total profit of integrated energy system operator by 14.07% and reduces the total cost of load aggregator by 10.06%. |
| format | Article |
| id | doaj-art-cf1a96f1d008482bbb3aca7703b90c97 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-cf1a96f1d008482bbb3aca7703b90c972025-08-20T02:53:57ZengNature PortfolioScientific Reports2045-23222025-01-0115112610.1038/s41598-024-84605-8A bi-level optimization strategy of electricity-hydrogen-carbon integrated energy system considering photovoltaic and wind power uncertainty and demand responseMingxuan Lu0Yun Teng1Zhe Chen2Yu Song3School of Electrical Engineering, Shenyang University of TechnologySchool of Electrical Engineering, Shenyang University of TechnologyThe Department of Energy Technology, Aalborg UniversitySchool of Electrical Engineering and Automation, Tianjin University of TechnologyAbstract To address the power supply-demand imbalance caused by the uncertainty in wind turbine and photovoltaic power generation in the regional integrated energy system, this study proposes a bi-level optimization strategy that considers the uncertainties in photovoltaic and wind turbine power generation as well as demand response. The upper-level model analyzes these uncertainties by modeling short-term and long-term output errors using robust optimization theory, applies an improved stepwise carbon trading model to control carbon emissions, and finally constructs an electricity-hydrogen-carbon cooperative scheduling optimization model to reduce wind and carbon emissions. The lower-level model incentivizes users to participate in integrated demand response through dynamic energy pricing, thereby reducing the annual consumption cost of load aggregator. The Karush-Kuhn-Tucker conditions and the Big-M method are used to solve the bi-level optimization model. Simulation results indicate that the improved carbon trading model reduces carbon emissions by approximately 40.12 tons per year, a decrease of 1.1%; the prediction accuracy of the short-term error model improves by 6.77%, and the prediction accuracy of the long-term error model improves by 15.16%; the electricity-hydrogen-carbon synergistic dispatch optimization model enhances the total profit of integrated energy system operator by 14.07% and reduces the total cost of load aggregator by 10.06%.https://doi.org/10.1038/s41598-024-84605-8Regional integrated energy systemIntegrated demand responseImproving tiered carbon tradingBi-level optimizationUncertaintyKarush-kuhn-tucker |
| spellingShingle | Mingxuan Lu Yun Teng Zhe Chen Yu Song A bi-level optimization strategy of electricity-hydrogen-carbon integrated energy system considering photovoltaic and wind power uncertainty and demand response Scientific Reports Regional integrated energy system Integrated demand response Improving tiered carbon trading Bi-level optimization Uncertainty Karush-kuhn-tucker |
| title | A bi-level optimization strategy of electricity-hydrogen-carbon integrated energy system considering photovoltaic and wind power uncertainty and demand response |
| title_full | A bi-level optimization strategy of electricity-hydrogen-carbon integrated energy system considering photovoltaic and wind power uncertainty and demand response |
| title_fullStr | A bi-level optimization strategy of electricity-hydrogen-carbon integrated energy system considering photovoltaic and wind power uncertainty and demand response |
| title_full_unstemmed | A bi-level optimization strategy of electricity-hydrogen-carbon integrated energy system considering photovoltaic and wind power uncertainty and demand response |
| title_short | A bi-level optimization strategy of electricity-hydrogen-carbon integrated energy system considering photovoltaic and wind power uncertainty and demand response |
| title_sort | bi level optimization strategy of electricity hydrogen carbon integrated energy system considering photovoltaic and wind power uncertainty and demand response |
| topic | Regional integrated energy system Integrated demand response Improving tiered carbon trading Bi-level optimization Uncertainty Karush-kuhn-tucker |
| url | https://doi.org/10.1038/s41598-024-84605-8 |
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