Optimized Dual-Layer Distributed Energy Storage Configuration for Voltage Over-Limit Zoning Governance in Distribution Networks

Meimei Hao, Jinchen Lan, Lianhui Wang, Yan Lin, Jiang Wang and Liang Qin ()
Additional contact information
Meimei Hao: State Grid Fujian Electric Power Co., Ltd., Fuzhou 350007, China
Jinchen Lan: State Grid Fujian Electric Power Co., Ltd. Electric Power Science Research Institute, Fuzhou 350007, China
Lianhui Wang: State Grid Fujian Electric Power Co., Ltd., Fuzhou 350007, China
Yan Lin: State Grid Fujian Electric Power Co., Ltd. Electric Power Science Research Institute, Fuzhou 350007, China
Jiang Wang: Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China
Liang Qin: Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China

Energies, 2024, vol. 17, issue 8, 1-19

Abstract: In this study, an optimized dual-layer configuration model is proposed to address voltages that exceed their limits following substantial integration of photovoltaic systems into distribution networks. Initially, the model involved segmenting the distribution network’s voltage zones based on distributed photovoltaic governance resources, thereby elucidating the characteristics and governance requisites for voltages across distinct regions. Subsequently, a governance model for voltage limit exceedances, grounded in optimizing energy storage configurations, was formulated to mitigate photovoltaic power fluctuations by deploying energy storage systems. This model coordinates the reactive power output of photovoltaic installations with the active power consumption of energy storage systems, thereby augmenting voltage autonomy in the power grid. This study leveraged Karush–Kuhn–Tucker (KKT) conditions and the Big-M method to transform the dual-layer model into a single-layer linear model, thereby enhancing solution efficiency and precision. Finally, a simulation was carried out to demonstrate that the strategy proposed from this research not only achieves commendable economic efficiency, but also significantly improves the regional voltage effect by 28.7% compared to the optical storage capacity optimization model.

Keywords: distribution network; distributed photovoltaics; zone governance; energy storage configuration; voltage regulation (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: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/8/1847/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/8/1847/ (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:17:y:2024:i:8:p:1847-:d:1374680

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 ().