Hybrid Possibilistic-Probabilistic Energy Flow Assessment for Multi-Energy Carrier Systems
The uncertainty is a pivotal problem in Multi-Energy Carrier (MEC) systems, which leads to the strong demand of reasonable tools to evaluate uncertainties. When both possibilistic and probabilistic uncertainties exist in the real MEC systems, traditional possibilistic or probabilistic methods are no...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8930941/ |
| _version_ | 1831646808955158528 |
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| author | Qianyu Dong Qiuye Sun Yujia Huang Zhibo Li Chong Cheng |
| author_facet | Qianyu Dong Qiuye Sun Yujia Huang Zhibo Li Chong Cheng |
| author_sort | Qianyu Dong |
| collection | DOAJ |
| description | The uncertainty is a pivotal problem in Multi-Energy Carrier (MEC) systems, which leads to the strong demand of reasonable tools to evaluate uncertainties. When both possibilistic and probabilistic uncertainties exist in the real MEC systems, traditional possibilistic or probabilistic methods are no more suitable to be applied. Therefore, this paper proposes a hybrid possibilistic-probabilistic energy flow assessment method to evaluate these uncertainties. Firstly, to build a more precise uncertain model, the probabilistic and possibilistic uncertainties are respectively modeled by considering different uncertainties of sources, networks and loads of MEC systems, and the correlations among wind generation and energy loads. Then, the product t-norms of the extension principle plus $\alpha $ -cut method is firstly implemented in processing fuzzy energy flow, which can reduce overestimation compared with the sole $\alpha $ -cut method. Next, on the basis of Dempster-Shafer evidence theory, the hybrid possibilistic-probabilistic energy flow assessment approach is presented. Finally, two cases are carried out to verify the effectiveness and practicability of the proposed method. |
| first_indexed | 2024-12-19T14:01:37Z |
| format | Article |
| id | doaj.art-2babd1b02ebc47799d91e0d5f2e76692 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T14:01:37Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2babd1b02ebc47799d91e0d5f2e766922022-12-21T20:18:26ZengIEEEIEEE Access2169-35362019-01-01717611517612610.1109/ACCESS.2019.29439988930941Hybrid Possibilistic-Probabilistic Energy Flow Assessment for Multi-Energy Carrier SystemsQianyu Dong0Qiuye Sun1https://orcid.org/0000-0001-8801-0884Yujia Huang2Zhibo Li3Chong Cheng4College of Information Science and Engineering, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaThe uncertainty is a pivotal problem in Multi-Energy Carrier (MEC) systems, which leads to the strong demand of reasonable tools to evaluate uncertainties. When both possibilistic and probabilistic uncertainties exist in the real MEC systems, traditional possibilistic or probabilistic methods are no more suitable to be applied. Therefore, this paper proposes a hybrid possibilistic-probabilistic energy flow assessment method to evaluate these uncertainties. Firstly, to build a more precise uncertain model, the probabilistic and possibilistic uncertainties are respectively modeled by considering different uncertainties of sources, networks and loads of MEC systems, and the correlations among wind generation and energy loads. Then, the product t-norms of the extension principle plus $\alpha $ -cut method is firstly implemented in processing fuzzy energy flow, which can reduce overestimation compared with the sole $\alpha $ -cut method. Next, on the basis of Dempster-Shafer evidence theory, the hybrid possibilistic-probabilistic energy flow assessment approach is presented. Finally, two cases are carried out to verify the effectiveness and practicability of the proposed method.https://ieeexplore.ieee.org/document/8930941/Multi-energy carrierpossibilistic uncertaintyprobabilistic uncertaintyuncertain energy flow |
| spellingShingle | Qianyu Dong Qiuye Sun Yujia Huang Zhibo Li Chong Cheng Hybrid Possibilistic-Probabilistic Energy Flow Assessment for Multi-Energy Carrier Systems IEEE Access Multi-energy carrier possibilistic uncertainty probabilistic uncertainty uncertain energy flow |
| title | Hybrid Possibilistic-Probabilistic Energy Flow Assessment for Multi-Energy Carrier Systems |
| title_full | Hybrid Possibilistic-Probabilistic Energy Flow Assessment for Multi-Energy Carrier Systems |
| title_fullStr | Hybrid Possibilistic-Probabilistic Energy Flow Assessment for Multi-Energy Carrier Systems |
| title_full_unstemmed | Hybrid Possibilistic-Probabilistic Energy Flow Assessment for Multi-Energy Carrier Systems |
| title_short | Hybrid Possibilistic-Probabilistic Energy Flow Assessment for Multi-Energy Carrier Systems |
| title_sort | hybrid possibilistic probabilistic energy flow assessment for multi energy carrier systems |
| topic | Multi-energy carrier possibilistic uncertainty probabilistic uncertainty uncertain energy flow |
| url | https://ieeexplore.ieee.org/document/8930941/ |
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