Distributed Voltage Optimal Control Method for Energy Storage Systems in Active Distribution Network
Yang Liu (),
Wenbin Liu,
Ying Wu and
Haidong Yu
Additional contact information
Yang Liu: State Grid Shandong Electric Power Research Institute, Jinan 250003, China
Wenbin Liu: State Grid Shandong Electric Power Research Institute, Jinan 250003, China
Ying Wu: State Grid Shandong Electric Power Research Institute, Jinan 250003, China
Haidong Yu: State Grid Shandong Electric Power Research Institute, Jinan 250003, China
Energies, 2025, vol. 18, issue 14, 1-20
Abstract:
High permeability distributed photovoltaic (PV) access to the distribution network makes it easy to cause frequent overvoltage of the system. However, the traditional centralized optimization scheduling method is difficult to meet the real-time voltage regulation requirements due to high communication costs. In this regard, this paper proposes a distributed fast voltage regulation method for energy storage systems (ESSs) in distribution networks. Firstly, to reduce the communication burden, the distribution network cluster is divided according to the electrical distance modularity index. Secondly, the distributed control model of active distribution network with the goal of voltage recovery and ESS power balance is established, and a distributed controller is designed. The feedback-control gains are optimized to improve the convergence rate. Finally, the IEEE33 bus system and IEEE69 bus system are applied for simulation. The results show that the proposed distributed optimal control method can effectively improve the voltage level of the distribution network under the condition of ensuring the ESS power balance.
Keywords: distribution system; distributed control; feedback gain; voltage regulation; energy storage system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/18/14/3670/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/14/3670/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:14:p:3670-:d:1699386
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().