Multi-objective Cooperative Capacity Determination Method for Integrated System of Wind, Photovoltaic and Storage of Smelting Enterprises Requiring Energy Saving and Carbon Reduction
Considering the uncertainty of new energy and the carbon emissions of users, a multi-objective capacity determination optimization method for energy storage of smelting enterprises considering economy and cleanliness is proposed. A two-layer energy storage optimization model is established, in which...
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| Format: | Article |
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State Grid Energy Research Institute
2023-11-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305047 |
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| author | Wenguang ZHU Wei WANG Bin OUYANG Hua ZHANG Xin WANG Rui MA |
| author_facet | Wenguang ZHU Wei WANG Bin OUYANG Hua ZHANG Xin WANG Rui MA |
| author_sort | Wenguang ZHU |
| collection | DOAJ |
| description | Considering the uncertainty of new energy and the carbon emissions of users, a multi-objective capacity determination optimization method for energy storage of smelting enterprises considering economy and cleanliness is proposed. A two-layer energy storage optimization model is established, in which the upper layer model optimizes the energy storage configuration for large users in smelting industry who have installed or plan to install new energy power generation, and the lower layer model optimizes the timing output of energy storage. Firstly, based on the charging and discharging characteristics of wind, photovoltaic and storage, a random uncertainty model of wind and photovoltaic output and a charging and discharging model of energy storage are constructed respectively. Then, a carbon emission accounting model of smelting industry is established to calculate the total carbon emissions and carbon emissions generated by power consumption according to the user output and power load, and the corresponding carbon reduction strategy is given. And then, based on the cost of potential carbon emissions, the maximum economic benefits and minimum cost and total carbon emissions are set as multi-objectives, and the optimal energy storage capacity of enterprises is obtained under the constraints of system safe operation. Finally, taking a copper smelting enterprise as an example, the proposed method is used to optimize the energy storage capacity under the access of wind and photovoltaic with ladder capacity. The simulation results have verified the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-ee290dbbc9f34e9c9348bc5a99626f25 |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2023-11-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-ee290dbbc9f34e9c9348bc5a99626f252025-08-20T02:47:33ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492023-11-015611869410.11930/j.issn.1004-9649.202305047zgdl-56-10-zhuwenguangMulti-objective Cooperative Capacity Determination Method for Integrated System of Wind, Photovoltaic and Storage of Smelting Enterprises Requiring Energy Saving and Carbon ReductionWenguang ZHU0Wei WANG1Bin OUYANG2Hua ZHANG3Xin WANG4Rui MA5Economic and Technological Research Institute, State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330043, ChinaEconomic and Technological Research Institute, State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330043, ChinaCollege of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, ChinaEconomic and Technological Research Institute, State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330043, ChinaEconomic and Technological Research Institute, State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330043, ChinaCollege of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, ChinaConsidering the uncertainty of new energy and the carbon emissions of users, a multi-objective capacity determination optimization method for energy storage of smelting enterprises considering economy and cleanliness is proposed. A two-layer energy storage optimization model is established, in which the upper layer model optimizes the energy storage configuration for large users in smelting industry who have installed or plan to install new energy power generation, and the lower layer model optimizes the timing output of energy storage. Firstly, based on the charging and discharging characteristics of wind, photovoltaic and storage, a random uncertainty model of wind and photovoltaic output and a charging and discharging model of energy storage are constructed respectively. Then, a carbon emission accounting model of smelting industry is established to calculate the total carbon emissions and carbon emissions generated by power consumption according to the user output and power load, and the corresponding carbon reduction strategy is given. And then, based on the cost of potential carbon emissions, the maximum economic benefits and minimum cost and total carbon emissions are set as multi-objectives, and the optimal energy storage capacity of enterprises is obtained under the constraints of system safe operation. Finally, taking a copper smelting enterprise as an example, the proposed method is used to optimize the energy storage capacity under the access of wind and photovoltaic with ladder capacity. The simulation results have verified the effectiveness of the proposed method.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305047new energy uncertaintycarbon emissionsenergy storage configurationmulti-target capacity determinationtiming optimization |
| spellingShingle | Wenguang ZHU Wei WANG Bin OUYANG Hua ZHANG Xin WANG Rui MA Multi-objective Cooperative Capacity Determination Method for Integrated System of Wind, Photovoltaic and Storage of Smelting Enterprises Requiring Energy Saving and Carbon Reduction Zhongguo dianli new energy uncertainty carbon emissions energy storage configuration multi-target capacity determination timing optimization |
| title | Multi-objective Cooperative Capacity Determination Method for Integrated System of Wind, Photovoltaic and Storage of Smelting Enterprises Requiring Energy Saving and Carbon Reduction |
| title_full | Multi-objective Cooperative Capacity Determination Method for Integrated System of Wind, Photovoltaic and Storage of Smelting Enterprises Requiring Energy Saving and Carbon Reduction |
| title_fullStr | Multi-objective Cooperative Capacity Determination Method for Integrated System of Wind, Photovoltaic and Storage of Smelting Enterprises Requiring Energy Saving and Carbon Reduction |
| title_full_unstemmed | Multi-objective Cooperative Capacity Determination Method for Integrated System of Wind, Photovoltaic and Storage of Smelting Enterprises Requiring Energy Saving and Carbon Reduction |
| title_short | Multi-objective Cooperative Capacity Determination Method for Integrated System of Wind, Photovoltaic and Storage of Smelting Enterprises Requiring Energy Saving and Carbon Reduction |
| title_sort | multi objective cooperative capacity determination method for integrated system of wind photovoltaic and storage of smelting enterprises requiring energy saving and carbon reduction |
| topic | new energy uncertainty carbon emissions energy storage configuration multi-target capacity determination timing optimization |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305047 |
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