Data-driven control and operation of cyber-physical microgrid systems
By interconnecting distributed energy resources (DERs) and local loads, microgrids have become a promising paradigm for the future smart grid. On the other hand, due to smaller grid size and higher penetration of renewable energy sources (RESs), the microgrid has a lower system inertia compared to t...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/171084 |
| _version_ | 1824453712113827840 |
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| author | Xia, Yang |
| author2 | Xu Yan |
| author_facet | Xu Yan Xia, Yang |
| author_sort | Xia, Yang |
| collection | NTU |
| description | By interconnecting distributed energy resources (DERs) and local loads, microgrids have become a promising paradigm for the future smart grid. On the other hand, due to smaller grid size and higher penetration of renewable energy sources (RESs), the microgrid has a lower system inertia compared to the conventional grid, which may bring more challenges for stable and effective operation of microgrids. This thesis studies the control strategy for flexible and resilient operation of microgrids. First, a data-driven optimal secondary control is developed in islanded AC microgrids based on deep reinforcement learning (DRL). Next, a decentralized and economic frequency control is proposed in a networked-microgrid (NMG) system. Further, a data-driven gain-scheduling approach is designed for distributed secondary controllers, which enhances the stability of time-delayed microgrids. Finally, a learning-based cyber-attack tolerance method is proposed to support secondary control in microgrids. |
| first_indexed | 2025-02-19T03:10:46Z |
| format | Thesis-Doctor of Philosophy |
| id | ntu-10356/171084 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:10:46Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1710842023-11-02T02:20:48Z Data-driven control and operation of cyber-physical microgrid systems Xia, Yang Xu Yan School of Electrical and Electronic Engineering xuyan@ntu.edu.sg Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution By interconnecting distributed energy resources (DERs) and local loads, microgrids have become a promising paradigm for the future smart grid. On the other hand, due to smaller grid size and higher penetration of renewable energy sources (RESs), the microgrid has a lower system inertia compared to the conventional grid, which may bring more challenges for stable and effective operation of microgrids. This thesis studies the control strategy for flexible and resilient operation of microgrids. First, a data-driven optimal secondary control is developed in islanded AC microgrids based on deep reinforcement learning (DRL). Next, a decentralized and economic frequency control is proposed in a networked-microgrid (NMG) system. Further, a data-driven gain-scheduling approach is designed for distributed secondary controllers, which enhances the stability of time-delayed microgrids. Finally, a learning-based cyber-attack tolerance method is proposed to support secondary control in microgrids. Doctor of Philosophy 2023-10-12T05:14:16Z 2023-10-12T05:14:16Z 2023 Thesis-Doctor of Philosophy Xia, Y. (2023). Data-driven control and operation of cyber-physical microgrid systems. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/171084 https://hdl.handle.net/10356/171084 10.32657/10356/171084 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution Xia, Yang Data-driven control and operation of cyber-physical microgrid systems |
| title | Data-driven control and operation of cyber-physical microgrid systems |
| title_full | Data-driven control and operation of cyber-physical microgrid systems |
| title_fullStr | Data-driven control and operation of cyber-physical microgrid systems |
| title_full_unstemmed | Data-driven control and operation of cyber-physical microgrid systems |
| title_short | Data-driven control and operation of cyber-physical microgrid systems |
| title_sort | data driven control and operation of cyber physical microgrid systems |
| topic | Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution |
| url | https://hdl.handle.net/10356/171084 |
| work_keys_str_mv | AT xiayang datadrivencontrolandoperationofcyberphysicalmicrogridsystems |