A Hierarchical Distributed and Local Voltage Control Strategy for Photovoltaic Clusters in Distribution Networks
The increasing integration of distributed photovoltaics (PVs) has intensified voltage violations in active distribution networks (ADNs). Traditional centralized voltage regulation approaches face substantial challenges in terms of communication and computation. Distributed control methods can help mitigate these issues through distributed algorithms but struggle to track real-time fluctuations in PV generation. Local control offers fast voltage adjustments but lacks coordination among different PV units. This paper presents a hierarchical distributed and local voltage control strategy for PV clusters. First, the alternating direction method of multipliers (ADMM) algorithm is adopted to coordinate the reactive power outputs of PV inverters across clusters, providing reference values for local control. Then, in the local control phase, a Q-P control strategy is utilized to address real-time PV fluctuations. The flexibility of the local control strategy is enhanced using the lifted linear decision rule, enabling a rapid response to PV power fluctuations. Finally, the proposed strategy is tested on both the modified IEEE 33-node distribution system and a practical 53-node distribution system to evaluate its performance. The results demonstrate that the proposed method effectively mitigates voltage issues, reducing the average voltage deviation by 53.93% while improving flexibility and adaptability to real-time changes in PV output.
Authors
- Hao Zhang (ORCID: https://orcid.org/0000-0003-1896-9859)
- Yuxiao Zhao (ORCID: https://orcid.org/0000-0001-6709-2315)
- Yuzhe Chen (ORCID: https://orcid.org/0000-0003-4880-5636)
- Sihai Qiu
- Zhiwei Liu (ORCID: https://orcid.org/0000-0002-2716-0069)
- Zhe Wang (ORCID: https://orcid.org/0000-0001-5664-2932)
- Qingguang Ren (ORCID: https://orcid.org/0000-0003-1120-4079)
Institutions
- Tianjin University (CN)
- Beijing Microelectronics Technology Institute (CN)
Publication Details
- Journal
- Processes
- Published
- 2025-05-22
- DOI
- https://doi.org/10.3390/pr13061633
- Citations
- 5
- Primary Topic
- Optimal Power Flow Distribution
- Type
- article
- Field-Weighted Citation Impact
- 3.65