Smart coordination of virtual energy storage systems for distribution network management
With an increasing penetration of solar photovoltaic (PV) resources in distribution networks, voltage regulation becomes an important issue. In addition, due to the growth in air conditioning load in summer days, overloading management draws researchers’ attentions as well. This paper proposes a two...
| Main Authors: | , , , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/159866 |
| _version_ | 1811679499221204992 |
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| author | Wang, Dongxiao Lai, Chun Sing Li, Xuecong Wu, Runji Gao, Xiaodan Lai, Loi Lei Wu, Xueqing Xu, Yi Wen, Yonggang Vaccaro, Alfredo |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Wang, Dongxiao Lai, Chun Sing Li, Xuecong Wu, Runji Gao, Xiaodan Lai, Loi Lei Wu, Xueqing Xu, Yi Wen, Yonggang Vaccaro, Alfredo |
| author_sort | Wang, Dongxiao |
| collection | NTU |
| description | With an increasing penetration of solar photovoltaic (PV) resources in distribution networks, voltage regulation becomes an important issue. In addition, due to the growth in air conditioning load in summer days, overloading management draws researchers’ attentions as well. This paper proposes a two-level consensus-driven distributed control strategy to coordinate virtual energy storage systems (VESSs), i.e. residential households with air conditioners, to avoid the violation of voltage and loading which are regarded as part of the main power quality issues in future distribution network. In the lower level, the precise modelling of VESSs is firstly built, then VESSs are aggregated via aggregators for better participating in the control scheme. Once the violation occurs, a consensus-driven control scheme in the upper level will be initiated to eliminate the error. Required active power adjustment is shared among VESSs aggregators via sparse communication networks, without compromising end users’ thermal comfort. Changes in the dynamic communication network topology are investigated to demonstrate their impacts on system performance. Simulation results based on a practical system in New South Wales, Australia is used to demonstrate the proposed control scheme, which can effectively manage voltage and loading in a distribution network with scalability and robustness. |
| first_indexed | 2024-10-01T03:10:07Z |
| format | Journal Article |
| id | ntu-10356/159866 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:10:07Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1598662022-07-05T01:16:27Z Smart coordination of virtual energy storage systems for distribution network management Wang, Dongxiao Lai, Chun Sing Li, Xuecong Wu, Runji Gao, Xiaodan Lai, Loi Lei Wu, Xueqing Xu, Yi Wen, Yonggang Vaccaro, Alfredo School of Computer Science and Engineering Engineering::Computer science and engineering Consensus Algorithm Network Loading Management With an increasing penetration of solar photovoltaic (PV) resources in distribution networks, voltage regulation becomes an important issue. In addition, due to the growth in air conditioning load in summer days, overloading management draws researchers’ attentions as well. This paper proposes a two-level consensus-driven distributed control strategy to coordinate virtual energy storage systems (VESSs), i.e. residential households with air conditioners, to avoid the violation of voltage and loading which are regarded as part of the main power quality issues in future distribution network. In the lower level, the precise modelling of VESSs is firstly built, then VESSs are aggregated via aggregators for better participating in the control scheme. Once the violation occurs, a consensus-driven control scheme in the upper level will be initiated to eliminate the error. Required active power adjustment is shared among VESSs aggregators via sparse communication networks, without compromising end users’ thermal comfort. Changes in the dynamic communication network topology are investigated to demonstrate their impacts on system performance. Simulation results based on a practical system in New South Wales, Australia is used to demonstrate the proposed control scheme, which can effectively manage voltage and loading in a distribution network with scalability and robustness. The work is co-sponsored by the Department of Finance and Education of Guangdong Province 2016 [202]: Key Discipline Construction Program, China; the Education Department of Guangdong Province: New and Integrated Energy System Theory and Technology Research Group [Project Number 2016KCXTD022]; and the research project under Guangdong Foshan Power Construction Corporation Group Co., Ltd. 2022-07-05T01:16:27Z 2022-07-05T01:16:27Z 2021 Journal Article Wang, D., Lai, C. S., Li, X., Wu, R., Gao, X., Lai, L. L., Wu, X., Xu, Y., Wen, Y. & Vaccaro, A. (2021). Smart coordination of virtual energy storage systems for distribution network management. International Journal of Electrical Power and Energy Systems, 129, 106816-. https://dx.doi.org/10.1016/j.ijepes.2021.106816 0142-0615 https://hdl.handle.net/10356/159866 10.1016/j.ijepes.2021.106816 2-s2.0-85100639526 129 106816 en International Journal of Electrical Power and Energy Systems © 2021 Elsevier Ltd. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Consensus Algorithm Network Loading Management Wang, Dongxiao Lai, Chun Sing Li, Xuecong Wu, Runji Gao, Xiaodan Lai, Loi Lei Wu, Xueqing Xu, Yi Wen, Yonggang Vaccaro, Alfredo Smart coordination of virtual energy storage systems for distribution network management |
| title | Smart coordination of virtual energy storage systems for distribution network management |
| title_full | Smart coordination of virtual energy storage systems for distribution network management |
| title_fullStr | Smart coordination of virtual energy storage systems for distribution network management |
| title_full_unstemmed | Smart coordination of virtual energy storage systems for distribution network management |
| title_short | Smart coordination of virtual energy storage systems for distribution network management |
| title_sort | smart coordination of virtual energy storage systems for distribution network management |
| topic | Engineering::Computer science and engineering Consensus Algorithm Network Loading Management |
| url | https://hdl.handle.net/10356/159866 |
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