Abstract
The increasing penetration of renewable based distributed energy resources (DERs) in distribution network (DN) leads to larger and more frequent voltage variation in distributions network (DN), thus posing challenges on voltage control. Real-time local voltage control method is a promising solution for the above issue. However, the local voltage control function needs to be customized and optimized according to real distribution system condition. In this paper, a swarm intelligence based Volt/Var control optimal design method (SO-VVC) is proposed to optimize the control function. Compared with existing approaches, the proposed method can not only represent the nonlinear behaviour of power flow but is also computation efficient. The performance of the proposed SO-VVC is demonstrated by case studies on a modified IEEE-123 bus system.
| Original language | English |
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| Title of host publication | 2024 8th International Conference on Power and Energy Engineering, ICPEE 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 153-158 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798331530860 |
| DOIs | |
| State | Published - 2024 |
| Event | 8th International Conference on Power and Energy Engineering, ICPEE 2024 - Chengdu, China Duration: Dec 20 2024 → Dec 22 2024 |
Publication series
| Name | 2024 8th International Conference on Power and Energy Engineering, ICPEE 2024 |
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Conference
| Conference | 8th International Conference on Power and Energy Engineering, ICPEE 2024 |
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| Country/Territory | China |
| City | Chengdu |
| Period | 12/20/24 → 12/22/24 |
Funding
This work was supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (SETO).
Keywords
- distributed energy resources
- distribution network
- OpenDSS
- particle swarm optimization
- Volt/Var control