Clusters partition and zonal voltage regulation for distribution networks with high penetration of PVs
Abstract
Integration of distributed generation (DG) at large scale with high penetration challenges the radial structure of the traditional distribution networks and the effectiveness of the conventional voltage regulation methods. In this study, the clusters partitioning and voltage regulation are researched. The modified electrical distance is introduced. An effective method, based on spectral clustering algorithm, is proposed for the partitioning of the DG network via the judgement of critical load buses. Two‐stage voltage regulation optimisation is realised in each sub‐community. The optimal objects are the minimal voltage fluctuation and the network loss of the distributed network. The independent variables are reactive‐power absorption and active‐power curtailment for each controllable photovoltaic node. An advanced particle swarm optimisation algorithm is applied to the voltage regulation for the sub‐communities. After a case study of the IEEE 33‐bus system, a regional distribution network in Anhui province of China is analysed. Simulation results indicate that the node voltages are stabilised with the improvement of power quality employing the proposed clusters partitioning method and zonal power control scheme.
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The silhouette coefficient of a node is a confidence indicator of its association in a group.
“The silhouette coefficient of a node is a confidence indicator of its association in a group M x [27], [42].”
From Chance constrained day-ahead robust flexibility needs assessment for low voltage distribution network (2022) · cites this paper as [27]
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Di Fazio, A. R., Russo, M., & De Santis, M. (2019) · Energies · doi:10.3390/en12030390 · Cited by 37 · see citing works
Hashmi, M. U., Koirala, A., Ergun, H., & Van Hertem, D. (2022) · arXiv · doi:10.48550/arxiv.2207.10234 · Cited by 1 · see citing works
- Authors
- Ding, J., Zhang, Q., Hu, S., Wang, Q., & Ye, Q.
- Affiliations
- Anhui University (CN)
- Anhui Electric Power Science Research Institute Hefei 230601 People's Republic of China
- Corresponding author
- Ding, Jinjin
- Venue
- IET Generation, Transmission & Distribution
- Published
- 2018-11-20
- Volume
- 12
- Issue
- 22
- Pages
- 6041-6051
- ISSN
- 1751-8687 (ISSN-L)
- 1751-8695
- OpenAlex
- W2897277708
- Cited by
- 37
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 9 · 2022: 6 · 2021: 5 · 2020: 9 · 2019: 2
- FWCI
- 1.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IET Generation Transmission & Distribution (publishedVersion)
- Funders
- National Key Research and Development Program of China
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
- Keywords
- distribution networks, photovoltaic penetration, distributed generation, voltage regulation, cluster partitioning, spectral clustering, two-stage optimization, voltage fluctuation, network losses, reactive power absorption, active power curtailment, particle swarm optimization, power quality
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