Optimal Power Flow Algorithm Based on Second-Order Cone Relaxation Method for Electricity-Gas Integrated Energy Microgrid
Due to the existence of nonlinear constraints, it is difficult to solve the power flow directly. This paper proposes a microgrid optimal scheduling strategy using second-order cone relaxation method to realize linear transformation, so as to minimize the total cost of the microgrid. Firstly, a micro...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/2073332 |
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| _version_ | 1832548848684236800 |
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| author | Fan Zhang Zhuzheng Shen Wen Xu Guofeng Wang Biyi Yi |
| author_facet | Fan Zhang Zhuzheng Shen Wen Xu Guofeng Wang Biyi Yi |
| author_sort | Fan Zhang |
| collection | DOAJ |
| description | Due to the existence of nonlinear constraints, it is difficult to solve the power flow directly. This paper proposes a microgrid optimal scheduling strategy using second-order cone relaxation method to realize linear transformation, so as to minimize the total cost of the microgrid. Firstly, a microgrid system model of electricity-gas integrated energy is established, and the nonlinear constraints of branch power flow are transformed by the second-order cone relaxation method. Then, based on the microgrid model, the application conditions of the second-order cone relaxation transformation method are studied, and the optimal scheduling strategy with the total cost of microgrid as the objective function is proposed. In addition, in the case that the microgrid system does not meet the application conditions of second-order cone programming, the optimization problem is solved by increasing the line loss. Finally, an example is given to verify the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-d571effe81da402d9bdca3bc27213b72 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-d571effe81da402d9bdca3bc27213b722025-02-03T06:12:51ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/20733322073332Optimal Power Flow Algorithm Based on Second-Order Cone Relaxation Method for Electricity-Gas Integrated Energy MicrogridFan Zhang0Zhuzheng Shen1Wen Xu2Guofeng Wang3Biyi Yi4Zhejiang Huayun Electric Power Engineering Design Consulting Co. Ltd, Hangzhou 310014, ChinaCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaZhejiang Huayun Electric Power Engineering Design Consulting Co. Ltd, Hangzhou 310014, ChinaCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaZhejiang Huayun Electric Power Engineering Design Consulting Co. Ltd, Hangzhou 310014, ChinaDue to the existence of nonlinear constraints, it is difficult to solve the power flow directly. This paper proposes a microgrid optimal scheduling strategy using second-order cone relaxation method to realize linear transformation, so as to minimize the total cost of the microgrid. Firstly, a microgrid system model of electricity-gas integrated energy is established, and the nonlinear constraints of branch power flow are transformed by the second-order cone relaxation method. Then, based on the microgrid model, the application conditions of the second-order cone relaxation transformation method are studied, and the optimal scheduling strategy with the total cost of microgrid as the objective function is proposed. In addition, in the case that the microgrid system does not meet the application conditions of second-order cone programming, the optimization problem is solved by increasing the line loss. Finally, an example is given to verify the effectiveness of the proposed method.http://dx.doi.org/10.1155/2021/2073332 |
| spellingShingle | Fan Zhang Zhuzheng Shen Wen Xu Guofeng Wang Biyi Yi Optimal Power Flow Algorithm Based on Second-Order Cone Relaxation Method for Electricity-Gas Integrated Energy Microgrid Complexity |
| title | Optimal Power Flow Algorithm Based on Second-Order Cone Relaxation Method for Electricity-Gas Integrated Energy Microgrid |
| title_full | Optimal Power Flow Algorithm Based on Second-Order Cone Relaxation Method for Electricity-Gas Integrated Energy Microgrid |
| title_fullStr | Optimal Power Flow Algorithm Based on Second-Order Cone Relaxation Method for Electricity-Gas Integrated Energy Microgrid |
| title_full_unstemmed | Optimal Power Flow Algorithm Based on Second-Order Cone Relaxation Method for Electricity-Gas Integrated Energy Microgrid |
| title_short | Optimal Power Flow Algorithm Based on Second-Order Cone Relaxation Method for Electricity-Gas Integrated Energy Microgrid |
| title_sort | optimal power flow algorithm based on second order cone relaxation method for electricity gas integrated energy microgrid |
| url | http://dx.doi.org/10.1155/2021/2073332 |
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