Aggregated energy storage for power system frequency control : a finite-time consensus approach
In future power systems, widespread small-scale energy storage systems (ESSs) can be aggregated to provide ancillary services. In this context, a new load frequency control scheme which incorporates the energy storage aggregator (ESA) and its associated disturbance observer is proposed. The disturba...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/141222 |
| _version_ | 1811684800796295168 |
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| author | Wang, Yu Xu, Yan Tang, Yi Liao, Kai Syed, Mazheruddin H. Guillo-Sansano, Efren Burt, Graeme M. |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Wang, Yu Xu, Yan Tang, Yi Liao, Kai Syed, Mazheruddin H. Guillo-Sansano, Efren Burt, Graeme M. |
| author_sort | Wang, Yu |
| collection | NTU |
| description | In future power systems, widespread small-scale energy storage systems (ESSs) can be aggregated to provide ancillary services. In this context, a new load frequency control scheme which incorporates the energy storage aggregator (ESA) and its associated disturbance observer is proposed. The disturbance observer is designed to supplement the secondary frequency control for the ESA, therefore the system frequency response and recovery can be improved. Within the ESA, a finite-time leader-follower consensus algorithm is proposed to control the small-scale ESSs via sparse communication networks. This algorithm ensures that the ESA tracks the frequency control signals, while the state-of-charge among each ESS is balanced in finite-time. The external characteristics of the ESA will resemble to that of one large-scale ESS. Numerical examples demonstrate the convergence of the ESA under different communication graphs. The effectiveness of the entire scheme for power system frequency control is validated under a variety of scenarios that include contingency and normal operation. |
| first_indexed | 2024-10-01T04:34:23Z |
| format | Journal Article |
| id | ntu-10356/141222 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:34:23Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1412222020-06-05T02:52:50Z Aggregated energy storage for power system frequency control : a finite-time consensus approach Wang, Yu Xu, Yan Tang, Yi Liao, Kai Syed, Mazheruddin H. Guillo-Sansano, Efren Burt, Graeme M. School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Frequency Control Consensus Algorithm In future power systems, widespread small-scale energy storage systems (ESSs) can be aggregated to provide ancillary services. In this context, a new load frequency control scheme which incorporates the energy storage aggregator (ESA) and its associated disturbance observer is proposed. The disturbance observer is designed to supplement the secondary frequency control for the ESA, therefore the system frequency response and recovery can be improved. Within the ESA, a finite-time leader-follower consensus algorithm is proposed to control the small-scale ESSs via sparse communication networks. This algorithm ensures that the ESA tracks the frequency control signals, while the state-of-charge among each ESS is balanced in finite-time. The external characteristics of the ESA will resemble to that of one large-scale ESS. Numerical examples demonstrate the convergence of the ESA under different communication graphs. The effectiveness of the entire scheme for power system frequency control is validated under a variety of scenarios that include contingency and normal operation. NRF (Natl Research Foundation, S’pore) 2020-06-05T02:52:50Z 2020-06-05T02:52:50Z 2018 Journal Article Wang, Y., Xu, Y., Tang, Y., Liao, K., Syed, M. H., Guillo-Sansano, E., & Burt, G. M. (2019). Aggregated energy storage for power system frequency control : a finite-time consensus approach. IEEE Transactions on Smart Grid, 10(4), 3675-3686. doi:10.1109/TSG.2018.2833877 1949-3053 https://hdl.handle.net/10356/141222 10.1109/TSG.2018.2833877 2-s2.0-85046728489 4 10 3675 3686 en IEEE Transactions on Smart Grid © 2018 IEEE. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Frequency Control Consensus Algorithm Wang, Yu Xu, Yan Tang, Yi Liao, Kai Syed, Mazheruddin H. Guillo-Sansano, Efren Burt, Graeme M. Aggregated energy storage for power system frequency control : a finite-time consensus approach |
| title | Aggregated energy storage for power system frequency control : a finite-time consensus approach |
| title_full | Aggregated energy storage for power system frequency control : a finite-time consensus approach |
| title_fullStr | Aggregated energy storage for power system frequency control : a finite-time consensus approach |
| title_full_unstemmed | Aggregated energy storage for power system frequency control : a finite-time consensus approach |
| title_short | Aggregated energy storage for power system frequency control : a finite-time consensus approach |
| title_sort | aggregated energy storage for power system frequency control a finite time consensus approach |
| topic | Engineering::Electrical and electronic engineering Frequency Control Consensus Algorithm |
| url | https://hdl.handle.net/10356/141222 |
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