Intelligent Modeling of PV–BESS Microgrids for Enhanced Stability, Cyber–Physical Resilience and Blackout Prevention

This paper proposes and validates a method for assessing the resilience of cyber–physical microgrids integrating Photovoltaic (PV) generation and Battery Energy Storage Systems (BESS). The approach combines two operational performance indicators—Voltage Deviation Index (VDI) and Energy Not Supplied (ENS)—with a composite resilience index that captures recovery dynamics following physical and cyber disturbances. The method is implemented in MATLAB Simulink R2022b on the IEEE 33-bus feeder, with PV at bus 6 and a BESS at bus 18. Two stress scenarios are analyzed: (i) loss of the main supply at bus 2 and (ii) a cyber-induced communication failure that triggers local (fallback) operation. Compared with the base case, the proposed strategy reduces VDI by approximately 27% and ENS by 12%, demonstrating significantly improved resilience without noticeable performance penalties.

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Publication Details

Journal
Energies
Published
2025-12-26
DOI
https://doi.org/10.3390/en19010148
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

Intelligent Modeling of PV–BESS Microgrids for Enhanced Stability, Cyber–Physical Resilience and Blackout Prevention

Adina Milena Tătar, Simona Riurean, Fîță Nicolae Daniel, Dragoș Păsculescu et al.
Energies
Optimal Power Flow Distribution
article

Intelligent Modeling of PV–BESS Microgrids for Enhanced Stability, Cyber–Physical Resilience and Blackout Prevention

Adina Milena Tătar, Simona Riurean, Fîță Nicolae Daniel, Dragoș Păsculescu, Mila Ilieva Obretenova, Teodora Lazar
article en

Abstract

This paper proposes and validates a method for assessing the resilience of cyber–physical microgrids integrating Photovoltaic (PV) generation and Battery Energy Storage Systems (BESS). The approach combines two operational performance indicators—Voltage Deviation Index (VDI) and Energy Not Supplied (ENS)—with a composite resilience index that captures recovery dynamics following physical and cyber disturbances. The method is implemented in MATLAB Simulink R2022b on the IEEE 33-bus feeder, with PV at bus 6 and a BESS at bus 18. Two stress scenarios are analyzed: (i) loss of the main supply at bus 2 and (ii) a cyber-induced communication failure that triggers local (fallback) operation. Compared with the base case, the proposed strategy reduces VDI by approximately 27% and ENS by 12%, demonstrating significantly improved resilience without noticeable performance penalties.

EnergiesVol. 19(1)
Constantin Brâncuși University of Targu Jiu (RO), University of Mining and Geology "Saint Ivan Rilski" (BG), Universitatea Din Petrosani (RO)
Affordable and clean energy
Openalex Percentile: Top 41%
Optimal Power Flow Distribution
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