Study on Multiobjective Modeling and Optimization of Offshore Micro Integrated Energy System considering Uncertainty of Load and Wind Power
Offshore micro integrated energy systems (OMIESs) are the basis of offshore oil and gas engineering and play an important role in developing and utilizing marine resources. By introducing offshore wind power generation, the carbon emissions of offshore micro integrated energy systems can be effectiv...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8820332 |
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| author | Jun Wu Baolin Li Jun Chen Qinghui Lou Xiangyu Xing Xuedong Zhu |
| author_facet | Jun Wu Baolin Li Jun Chen Qinghui Lou Xiangyu Xing Xuedong Zhu |
| author_sort | Jun Wu |
| collection | DOAJ |
| description | Offshore micro integrated energy systems (OMIESs) are the basis of offshore oil and gas engineering and play an important role in developing and utilizing marine resources. By introducing offshore wind power generation, the carbon emissions of offshore micro integrated energy systems can be effectively reduced; however, greater challenges have been posted to the reliable operation due to the uncertainty. To reduce the influence brought by the uncertainty, a multiobjective optimization model was proposed based on the chance-constrained programming (CCP); the operating cost and penalty cost of natural gas emission were selected as objectives. Then, the improved hybrid constraints handling strategy based on nondominated sorting genetic algorithm II (IHCHS-NSGAII) was introduced to solve the model efficiently. Finally, the numerical studies verified the efficiency of the proposed algorithm, as well as the validity and feasibility of the proposed model in improving the economy of OMIES under uncertainty. |
| format | Article |
| id | doaj-art-8150c5e960014bd5a0c2a4e79c09cf52 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-8150c5e960014bd5a0c2a4e79c09cf522025-02-03T01:05:10ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88203328820332Study on Multiobjective Modeling and Optimization of Offshore Micro Integrated Energy System considering Uncertainty of Load and Wind PowerJun Wu0Baolin Li1Jun Chen2Qinghui Lou3Xiangyu Xing4Xuedong Zhu5School of Electrical Engineering & Automation, Wuhan University, Wuhan, ChinaSchool of Electrical Engineering & Automation, Wuhan University, Wuhan, ChinaResearch Institute Nanjing NARI-Relays Engineering Technology Co., Ltd., Nanjing, ChinaResearch Institute Nanjing NARI-Relays Engineering Technology Co., Ltd., Nanjing, ChinaSchool of Electrical Engineering & Automation, Wuhan University, Wuhan, ChinaSchool of Electrical Engineering & Automation, Wuhan University, Wuhan, ChinaOffshore micro integrated energy systems (OMIESs) are the basis of offshore oil and gas engineering and play an important role in developing and utilizing marine resources. By introducing offshore wind power generation, the carbon emissions of offshore micro integrated energy systems can be effectively reduced; however, greater challenges have been posted to the reliable operation due to the uncertainty. To reduce the influence brought by the uncertainty, a multiobjective optimization model was proposed based on the chance-constrained programming (CCP); the operating cost and penalty cost of natural gas emission were selected as objectives. Then, the improved hybrid constraints handling strategy based on nondominated sorting genetic algorithm II (IHCHS-NSGAII) was introduced to solve the model efficiently. Finally, the numerical studies verified the efficiency of the proposed algorithm, as well as the validity and feasibility of the proposed model in improving the economy of OMIES under uncertainty.http://dx.doi.org/10.1155/2020/8820332 |
| spellingShingle | Jun Wu Baolin Li Jun Chen Qinghui Lou Xiangyu Xing Xuedong Zhu Study on Multiobjective Modeling and Optimization of Offshore Micro Integrated Energy System considering Uncertainty of Load and Wind Power Complexity |
| title | Study on Multiobjective Modeling and Optimization of Offshore Micro Integrated Energy System considering Uncertainty of Load and Wind Power |
| title_full | Study on Multiobjective Modeling and Optimization of Offshore Micro Integrated Energy System considering Uncertainty of Load and Wind Power |
| title_fullStr | Study on Multiobjective Modeling and Optimization of Offshore Micro Integrated Energy System considering Uncertainty of Load and Wind Power |
| title_full_unstemmed | Study on Multiobjective Modeling and Optimization of Offshore Micro Integrated Energy System considering Uncertainty of Load and Wind Power |
| title_short | Study on Multiobjective Modeling and Optimization of Offshore Micro Integrated Energy System considering Uncertainty of Load and Wind Power |
| title_sort | study on multiobjective modeling and optimization of offshore micro integrated energy system considering uncertainty of load and wind power |
| url | http://dx.doi.org/10.1155/2020/8820332 |
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