Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation
As battery technology matures, the battery energy storage system (BESS) becomes a promising candidate for addressing renewable energy uncertainties. BESS degradation is one of key factors in BESS operations, which is usually considered in the planning stage. However, BESS degradations are directly a...
| 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/10356/83402 http://hdl.handle.net/10220/49120 |
| _version_ | 1826123386580893696 |
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| author | Xu, Yan Zhao, Tianyang Zhao, Shuqiang Zhang, Jianhua Wang, Yang |
| author2 | Energy Research Institute @ NTU (ERI@N) |
| author_facet | Energy Research Institute @ NTU (ERI@N) Xu, Yan Zhao, Tianyang Zhao, Shuqiang Zhang, Jianhua Wang, Yang |
| author_sort | Xu, Yan |
| collection | NTU |
| description | As battery technology matures, the battery energy storage system (BESS) becomes a promising candidate for addressing renewable energy uncertainties. BESS degradation is one of key factors in BESS operations, which is usually considered in the planning stage. However, BESS degradations are directly affected by the depth of discharge (DoD), which is closely related to the BESS daily schedule. Specifically, the BESS life losses may be different when providing the same amount of energy under a distinct DoD. Therefore, it is necessary to develop a model to consider the effect of daily discharge on BESS degradation. In this paper, a model quantifying the nonlinear impact of DoD on BESS life loss is proposed. By adopting the chance-constrained goal programming, the degradation in day-ahead unit commitment is formulated as a multi-objective optimization problem. To facilitate an efficient solution, the model is converted into a mixed integer linear programming problem. The effectiveness of the proposed method is verified in a modified IEEE 39-bus system. |
| first_indexed | 2024-10-01T06:03:49Z |
| format | Journal Article |
| id | ntu-10356/83402 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:03:49Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/834022021-01-10T11:46:23Z Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation Xu, Yan Zhao, Tianyang Zhao, Shuqiang Zhang, Jianhua Wang, Yang Energy Research Institute @ NTU (ERI@N) Chance Constraints BESS Degradation Engineering::Electrical and electronic engineering As battery technology matures, the battery energy storage system (BESS) becomes a promising candidate for addressing renewable energy uncertainties. BESS degradation is one of key factors in BESS operations, which is usually considered in the planning stage. However, BESS degradations are directly affected by the depth of discharge (DoD), which is closely related to the BESS daily schedule. Specifically, the BESS life losses may be different when providing the same amount of energy under a distinct DoD. Therefore, it is necessary to develop a model to consider the effect of daily discharge on BESS degradation. In this paper, a model quantifying the nonlinear impact of DoD on BESS life loss is proposed. By adopting the chance-constrained goal programming, the degradation in day-ahead unit commitment is formulated as a multi-objective optimization problem. To facilitate an efficient solution, the model is converted into a mixed integer linear programming problem. The effectiveness of the proposed method is verified in a modified IEEE 39-bus system. Published version 2019-07-04T01:33:43Z 2019-12-06T15:21:42Z 2019-07-04T01:33:43Z 2019-12-06T15:21:42Z 2018 Journal Article Xu, Y., Zhao, T., Zhao, S., Zhang, J., & Wang, Y. (2018). Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation. CSEE Journal of Power and Energy Systems, 4(3), 316-325. doi:10.17775/CSEEJPES.2016.01050 2096-0042 https://hdl.handle.net/10356/83402 http://hdl.handle.net/10220/49120 10.17775/CSEEJPES.2016.01050 en CSEE Journal of Power and Energy Systems © 2016 CSEE (published by IEEE). This is an open-access article distributed under the terms of the Creative Commons Attribution License. 10 p. application/pdf |
| spellingShingle | Chance Constraints BESS Degradation Engineering::Electrical and electronic engineering Xu, Yan Zhao, Tianyang Zhao, Shuqiang Zhang, Jianhua Wang, Yang Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation |
| title | Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation |
| title_full | Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation |
| title_fullStr | Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation |
| title_full_unstemmed | Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation |
| title_short | Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation |
| title_sort | multi objective chance constrained optimal day ahead scheduling considering bess degradation |
| topic | Chance Constraints BESS Degradation Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/83402 http://hdl.handle.net/10220/49120 |
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