A robust optimization approach for capacity configuration of solar towns considering supply-demand uncertainties
The energy system of solar town is a comprehensive energy system with the photovoltaic as the main body, combined with other local energy sources. To fully utilize the solar energy and geothermal energy in such system, a two-stage robust optimization method considering uncertainties of both energy s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Power Engineering Technology
2023-11-01
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| Series: | 电力工程技术 |
| Subjects: | |
| Online Access: | https://www.epet-info.com/dlgcjsen/article/abstract/230526616 |
| _version_ | 1797405567264751616 |
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| author | SUN Tianhe JIN Shuangyuan LIU Guobin HU Yaqing QU Yongqiang |
| author_facet | SUN Tianhe JIN Shuangyuan LIU Guobin HU Yaqing QU Yongqiang |
| author_sort | SUN Tianhe |
| collection | DOAJ |
| description | The energy system of solar town is a comprehensive energy system with the photovoltaic as the main body, combined with other local energy sources. To fully utilize the solar energy and geothermal energy in such system, a two-stage robust optimization method considering uncertainties of both energy supply and demand is proposed. Uncertainty adjustment parameters are introduced to avoid sacrificing economic efficiency in order to ensure power supply reliability. A max-min-max two-stage robust optimization configuration model is established with the objective of minimizing the overall system cost. The optimization includes the allocation of photovoltaics, combined heat and power, ground source heat pumps and storage in the integrated energy system of the solar town. The uncertainty of photovoltaic and load data is described by a box-type uncertainty set independent of probability distribution. The upper and lower boundary interval as robust constraints represents the fluctuation range of photovoltaic and load. The column and constraint generation algorithm and strong duality transformation are employed to reduce the complexity level of solving the problem. A case study is conducted on a solar town located in northern China. By adjusting the uncertainty adjustment parameters, the conservatism of the configuration plan can be effectively controlled. The scheme has strong applicability, mainly embodied in not only ensuring the reliability of power supply, reducing the load power loss rate, but also reducing the configuration cost and improving the light rejection rate. |
| first_indexed | 2024-03-09T03:11:52Z |
| format | Article |
| id | doaj.art-5c955927d4f840fb96bd2f35dcd4520e |
| institution | Directory Open Access Journal |
| issn | 2096-3203 |
| language | zho |
| last_indexed | 2024-03-09T03:11:52Z |
| publishDate | 2023-11-01 |
| publisher | Editorial Department of Electric Power Engineering Technology |
| record_format | Article |
| series | 电力工程技术 |
| spelling | doaj.art-5c955927d4f840fb96bd2f35dcd4520e2023-12-04T00:44:17ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032023-11-01426425110.12158/j.2096-3203.2023.06.005230526616A robust optimization approach for capacity configuration of solar towns considering supply-demand uncertaintiesSUN Tianhe0JIN Shuangyuan1LIU Guobin2HU Yaqing3QU Yongqiang4School of Electric Power, Shenyang Institute of Engineering, Shenyang 110136, ChinaState Grid Fushun Power Supply Company of Liaoning Electric Power Co., Ltd., Fushun 113000, ChinaState Grid Fushun Power Supply Company of Liaoning Electric Power Co., Ltd., Fushun 113000, ChinaState Grid Fushun Power Supply Company of Liaoning Electric Power Co., Ltd., Fushun 113000, ChinaState Grid Fushun Power Supply Company of Liaoning Electric Power Co., Ltd., Fushun 113000, ChinaThe energy system of solar town is a comprehensive energy system with the photovoltaic as the main body, combined with other local energy sources. To fully utilize the solar energy and geothermal energy in such system, a two-stage robust optimization method considering uncertainties of both energy supply and demand is proposed. Uncertainty adjustment parameters are introduced to avoid sacrificing economic efficiency in order to ensure power supply reliability. A max-min-max two-stage robust optimization configuration model is established with the objective of minimizing the overall system cost. The optimization includes the allocation of photovoltaics, combined heat and power, ground source heat pumps and storage in the integrated energy system of the solar town. The uncertainty of photovoltaic and load data is described by a box-type uncertainty set independent of probability distribution. The upper and lower boundary interval as robust constraints represents the fluctuation range of photovoltaic and load. The column and constraint generation algorithm and strong duality transformation are employed to reduce the complexity level of solving the problem. A case study is conducted on a solar town located in northern China. By adjusting the uncertainty adjustment parameters, the conservatism of the configuration plan can be effectively controlled. The scheme has strong applicability, mainly embodied in not only ensuring the reliability of power supply, reducing the load power loss rate, but also reducing the configuration cost and improving the light rejection rate.https://www.epet-info.com/dlgcjsen/article/abstract/230526616solar townintegrated energy systemrobust optimizationuncertaintiescapacity configurationcolumn and constraint generation algorithm |
| spellingShingle | SUN Tianhe JIN Shuangyuan LIU Guobin HU Yaqing QU Yongqiang A robust optimization approach for capacity configuration of solar towns considering supply-demand uncertainties 电力工程技术 solar town integrated energy system robust optimization uncertainties capacity configuration column and constraint generation algorithm |
| title | A robust optimization approach for capacity configuration of solar towns considering supply-demand uncertainties |
| title_full | A robust optimization approach for capacity configuration of solar towns considering supply-demand uncertainties |
| title_fullStr | A robust optimization approach for capacity configuration of solar towns considering supply-demand uncertainties |
| title_full_unstemmed | A robust optimization approach for capacity configuration of solar towns considering supply-demand uncertainties |
| title_short | A robust optimization approach for capacity configuration of solar towns considering supply-demand uncertainties |
| title_sort | robust optimization approach for capacity configuration of solar towns considering supply demand uncertainties |
| topic | solar town integrated energy system robust optimization uncertainties capacity configuration column and constraint generation algorithm |
| url | https://www.epet-info.com/dlgcjsen/article/abstract/230526616 |
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