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Emergency power control of virtual energy storage systems for improved grid stability
ID
Škrjanc, Tadej
(
Author
),
ID
Rudež, Urban
(
Author
)
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MD5: 2C32BF7034C635EBCD1EDBD45C054B08
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https://www.sciencedirect.com/science/article/pii/S0142061525010701
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Abstract
The ongoing transformation of electrical power systems, driven by the integration of renewable energy sources and the adoption of hybrid alternating current and direct current grid architectures, presents new challenges for maintaining system stability. The shift from traditional synchronous generators to converter-based technologies reduces system inertia, increasing the risk of rapid frequency and voltage instability, particularly during emergency events. Existing fast frequency response services, typically provided by battery storage systems or specialised equipment, are often limited by proprietary designs, lack of interoperability, and insufficient scalability. This paper proposes a generalised emergency power balancing method based on controllable virtual energy storage systems. These systems aggregate various distributed energy resources, such as electric vehicles, flexible electrical loads, and small-scale storage units. When coordinated by system operators, these resources can provide fast, bidirectional power regulation, reducing reliance on consumer disconnections. Building on the concept of frequency stability margin, the paper introduces a decentralised control algorithm that enables rapid and adaptive power regulation. The algorithm is designed to respond strongly in severe grid disturbances while moderating its actions during less critical events. In addition to frequency support, the control strategy can be extended to manage voltage stability, providing a dual-purpose solution for improving system resilience. Simulation results show that the proposed control strategy effectively mitigates both frequency and rate-ofchange deviations, achieving a stable and coordinated system response under a wide range of operating conditions. The results confirm that the proposed approach enhances system stability, offering a scalable and flexible solution for future emergency power balancing needs.
Language:
English
Keywords:
emergency power balancing
,
frequency stability
,
virtual energy storage system
,
adaptive control algorithm
,
SFR model
,
BESS
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FE - Faculty of Electrical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2026
Number of pages:
14 str.
Numbering:
Vol. 174, art. 111522
PID:
20.500.12556/RUL-177854
UDC:
621.31
ISSN on article:
1879-3517
DOI:
10.1016/j.ijepes.2025.111522
COBISS.SI-ID:
264158979
Publication date in RUL:
09.01.2026
Views:
494
Downloads:
450
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Record is a part of a journal
Title:
International journal of electrical power & energy systems
Shortened title:
Int j. electr. power energy syst.
Publisher:
Elsevier
ISSN:
1879-3517
COBISS.SI-ID:
23398917
Secondary language
Language:
Slovenian
Keywords:
izravnava moči v sili
,
frekvenčna stabilnost
,
virtualni sistem za shranjevanje energije
,
adaptivni algoritem krmiljenja
,
model SFR
,
BESS
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P2-0356
Name:
Elektroenergetski sistemi
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
L2-50053
Name:
Sprotno ocenjevanje stabilnosti elektroenergetskega sistema na osnovi umetne inteligence (AI–ASSIST)
Funder:
Other - Other funder or multiple funders
Funding programme:
CRESYM
Name:
Large Res Integration Stability Analysis
Acronym:
LaRISA
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