Virtual storage-based DSM with error-driven prediction modulation for microgrids
Microgrids consider adjustable loads in demand-side management (DSM), which respond to dynamic market prices. A reliable DSM strategy relies on load forecasting techniques in day-ahead (DA) scheduling. This paper applies an error-driven prediction modulation to evaluate these differences. In additio...
| 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/10356/89998 http://hdl.handle.net/10220/49344 |
| _version_ | 1826113879228284928 |
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| author | Lee, Xuecong Yan, Mengxuan Xu, Fang Yuan Wang, Yue Fan, Yiliang Lee, Zekai Wen, Yonggang Mohammad Shahidehpour Lai, Loi Lei |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Lee, Xuecong Yan, Mengxuan Xu, Fang Yuan Wang, Yue Fan, Yiliang Lee, Zekai Wen, Yonggang Mohammad Shahidehpour Lai, Loi Lei |
| author_sort | Lee, Xuecong |
| collection | NTU |
| description | Microgrids consider adjustable loads in demand-side management (DSM), which respond to dynamic market prices. A reliable DSM strategy relies on load forecasting techniques in day-ahead (DA) scheduling. This paper applies an error-driven prediction modulation to evaluate these differences. In addition, this paper creates two new DSM methods with an evaluation environment to utilize this modulation. The first method adds this modulation directly to traditional microgrid DSM with electrical storage. The second method creates two virtual sub-storages for behavior adjustment in both DA and real-time (RT) markets. The results of numerical studies indicate that the new DSM methods can reduce microgrid operation costs. |
| first_indexed | 2024-10-01T03:30:27Z |
| format | Journal Article |
| id | ntu-10356/89998 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:30:27Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/899982020-03-07T11:49:00Z Virtual storage-based DSM with error-driven prediction modulation for microgrids Lee, Xuecong Yan, Mengxuan Xu, Fang Yuan Wang, Yue Fan, Yiliang Lee, Zekai Wen, Yonggang Mohammad Shahidehpour Lai, Loi Lei School of Computer Science and Engineering Storage Microgrid Engineering::Computer science and engineering Microgrids consider adjustable loads in demand-side management (DSM), which respond to dynamic market prices. A reliable DSM strategy relies on load forecasting techniques in day-ahead (DA) scheduling. This paper applies an error-driven prediction modulation to evaluate these differences. In addition, this paper creates two new DSM methods with an evaluation environment to utilize this modulation. The first method adds this modulation directly to traditional microgrid DSM with electrical storage. The second method creates two virtual sub-storages for behavior adjustment in both DA and real-time (RT) markets. The results of numerical studies indicate that the new DSM methods can reduce microgrid operation costs. Published version 2019-07-15T04:45:28Z 2019-12-06T17:38:21Z 2019-07-15T04:45:28Z 2019-12-06T17:38:21Z 2019 Journal Article Lee, X., Yan, M., Xu, F. Y., Wang, Y., Fan, Y., Lee, Z., . . . Lai, L. L. (2019). Virtual storage-based DSM with error-driven prediction modulation for microgrids. IEEE Access, 7, 71109-71118. doi:10.1109/ACCESS.2019.2913898 https://hdl.handle.net/10356/89998 http://hdl.handle.net/10220/49344 10.1109/ACCESS.2019.2913898 en IEEE Access Articles accepted before 12 June 2019 were published under a CC BY 3.0 or the IEEE Open Access Publishing Agreement license. Questions about copyright policies or reuse rights may be directed to the IEEE Intellectual Property Rights Office at +1-732-562-3966 or copyrights@ieee.org. 10 p. application/pdf |
| spellingShingle | Storage Microgrid Engineering::Computer science and engineering Lee, Xuecong Yan, Mengxuan Xu, Fang Yuan Wang, Yue Fan, Yiliang Lee, Zekai Wen, Yonggang Mohammad Shahidehpour Lai, Loi Lei Virtual storage-based DSM with error-driven prediction modulation for microgrids |
| title | Virtual storage-based DSM with error-driven prediction modulation for microgrids |
| title_full | Virtual storage-based DSM with error-driven prediction modulation for microgrids |
| title_fullStr | Virtual storage-based DSM with error-driven prediction modulation for microgrids |
| title_full_unstemmed | Virtual storage-based DSM with error-driven prediction modulation for microgrids |
| title_short | Virtual storage-based DSM with error-driven prediction modulation for microgrids |
| title_sort | virtual storage based dsm with error driven prediction modulation for microgrids |
| topic | Storage Microgrid Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/89998 http://hdl.handle.net/10220/49344 |
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