Flexible scheduling of microgrid with uncertainties considering expectation and robustness
With increasing renewable distributed energy resources integrated into a microgrid (MG), it is difficult to realize its optimal operation due to various uncertainties, e.g., power outputs of wind turbines and photovoltaic cells. This paper presents a flexible scheduling model for the optimal operati...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/105580 http://hdl.handle.net/10220/50159 http://dx.doi.org/10.1109/TIA.2017.2757902 |
| _version_ | 1811680944237576192 |
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| author | Li, Yuanzheng Zhao, Tianyang Wang, Ping Gooi, Hoay Beng Ding, Zhaohao Li, Kaicheng Yan, Wei |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Li, Yuanzheng Zhao, Tianyang Wang, Ping Gooi, Hoay Beng Ding, Zhaohao Li, Kaicheng Yan, Wei |
| author_sort | Li, Yuanzheng |
| collection | NTU |
| description | With increasing renewable distributed energy resources integrated into a microgrid (MG), it is difficult to realize its optimal operation due to various uncertainties, e.g., power outputs of wind turbines and photovoltaic cells. This paper presents a flexible scheduling model for the optimal operation of an MG in which the expectation of operational cost and the robustness of scheduling solutions are considered, simultaneously. To balance the tradeoff between minimizing the expectation of operational cost and enhancing robustness, the proposed flexible scheduling model of MG is formulated as a multiobjective optimization problem by introducing a robustness preference parameter. In this way, the relationship between the expected operational cost and the robustness of scheduling solution is investigated, and the fuzzy decision making method is used for selecting a suitable solution. Finally, a modified MG is used for case study, and simulation results verify the applicability and effectiveness of the proposed model. |
| first_indexed | 2024-10-01T03:33:06Z |
| format | Journal Article |
| id | ntu-10356/105580 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:33:06Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/1055802019-12-06T21:53:55Z Flexible scheduling of microgrid with uncertainties considering expectation and robustness Li, Yuanzheng Zhao, Tianyang Wang, Ping Gooi, Hoay Beng Ding, Zhaohao Li, Kaicheng Yan, Wei School of Computer Science and Engineering Flexible Scheduling Expectation Engineering::Computer science and engineering With increasing renewable distributed energy resources integrated into a microgrid (MG), it is difficult to realize its optimal operation due to various uncertainties, e.g., power outputs of wind turbines and photovoltaic cells. This paper presents a flexible scheduling model for the optimal operation of an MG in which the expectation of operational cost and the robustness of scheduling solutions are considered, simultaneously. To balance the tradeoff between minimizing the expectation of operational cost and enhancing robustness, the proposed flexible scheduling model of MG is formulated as a multiobjective optimization problem by introducing a robustness preference parameter. In this way, the relationship between the expected operational cost and the robustness of scheduling solution is investigated, and the fuzzy decision making method is used for selecting a suitable solution. Finally, a modified MG is used for case study, and simulation results verify the applicability and effectiveness of the proposed model. NRF (Natl Research Foundation, S’pore) EDB (Economic Devt. Board, S’pore) Accepted version 2019-10-15T08:17:01Z 2019-12-06T21:53:55Z 2019-10-15T08:17:01Z 2019-12-06T21:53:55Z 2017 Journal Article Li, Y., Zhao, T., Wang, P., Gooi, H. B., Ding, Z., Li, K., & Yan, W. (2018). Flexible scheduling of microgrid with uncertainties considering expectation and robustness. IEEE Transactions on Industry Applications, 54(4), 3009-3018. doi:10.1109/TIA.2017.2757902 0093-9994 https://hdl.handle.net/10356/105580 http://hdl.handle.net/10220/50159 http://dx.doi.org/10.1109/TIA.2017.2757902 en IEEE Transactions on Industry Applications © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TIA.2017.2757902 9 p. application/pdf |
| spellingShingle | Flexible Scheduling Expectation Engineering::Computer science and engineering Li, Yuanzheng Zhao, Tianyang Wang, Ping Gooi, Hoay Beng Ding, Zhaohao Li, Kaicheng Yan, Wei Flexible scheduling of microgrid with uncertainties considering expectation and robustness |
| title | Flexible scheduling of microgrid with uncertainties considering expectation and robustness |
| title_full | Flexible scheduling of microgrid with uncertainties considering expectation and robustness |
| title_fullStr | Flexible scheduling of microgrid with uncertainties considering expectation and robustness |
| title_full_unstemmed | Flexible scheduling of microgrid with uncertainties considering expectation and robustness |
| title_short | Flexible scheduling of microgrid with uncertainties considering expectation and robustness |
| title_sort | flexible scheduling of microgrid with uncertainties considering expectation and robustness |
| topic | Flexible Scheduling Expectation Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/105580 http://hdl.handle.net/10220/50159 http://dx.doi.org/10.1109/TIA.2017.2757902 |
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