Mobile Energy Storage for Inverter-Dominated Isolated Microgrids Resiliency Enhancement Through Maximizing Loadability and Seamless Reconfiguration

Inverter-dominated isolated/islanded microgrids (IDIMGs) lack infinite buses and have low inertia, resulting in higher sensitivity to disturbances and reduced stability compared to grid-tied systems. Enhancing the resilience of IDIMGs can be achieved by maximizing the system loadability and/or mitigating the expected disturbances such as line switching operations. This paper proposes a two-stage framework based on the deployment of mobile energy storage (MES) to enhance the resilience of IDIMGs. In the first stage, the network configuration and deployment of MES are optimized to maximize the system loadability. The proposed formulation for this stage is a stochastic multi-period mixed-integer nonlinear program (MINLP) that maximizes a weighted sum of minimax loadabilities. In the second stage, transitional locations of MES, line-exchange execution sequence, and droop control of dispatchable sources are jointly optimized to mitigate line-switching disturbances that occur when transitioning to the new network configuration obtained in the first stage. The second stage model is a multi-objective MINLP. The proposed models are solved within the general algebraic modeling system (GAMS), utilizing a modified IEEE 33-bus system. Simulations are conducted to assess the significance of each proposed model, and the results reveal remarkable improvements in system loadability with the utilization of the first-stage model and significant reductions in the total switched power with the adoption of the second-stage model.

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Publication Details

Journal
Protection and Control of Modern Power Systems
Published
2025-07-01
DOI
https://doi.org/10.23919/pcmp.2024.000214
Citations
6
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
7.29

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article

Mobile Energy Storage for Inverter-Dominated Isolated Microgrids Resiliency Enhancement Through Maximizing Loadability and Seamless Reconfiguration

Maher A. Azzouz, Wael M. El‐Sayed, Mostafa F. Shaaban, Ehab F. El‐Saadany et al.
6 citations
Protection and Control of Modern Power Systems
Microgrid Control and Optimization
7.29
article

Mobile Energy Storage for Inverter-Dominated Isolated Microgrids Resiliency Enhancement Through Maximizing Loadability and Seamless Reconfiguration

Maher A. Azzouz, Wael M. El‐Sayed, Mostafa F. Shaaban, Ehab F. El‐Saadany, Ahmed S. A. Awad
article en
6 citations

Abstract

Inverter-dominated isolated/islanded microgrids (IDIMGs) lack infinite buses and have low inertia, resulting in higher sensitivity to disturbances and reduced stability compared to grid-tied systems. Enhancing the resilience of IDIMGs can be achieved by maximizing the system loadability and/or mitigating the expected disturbances such as line switching operations. This paper proposes a two-stage framework based on the deployment of mobile energy storage (MES) to enhance the resilience of IDIMGs. In the first stage, the network configuration and deployment of MES are optimized to maximize the system loadability. The proposed formulation for this stage is a stochastic multi-period mixed-integer nonlinear program (MINLP) that maximizes a weighted sum of minimax loadabilities. In the second stage, transitional locations of MES, line-exchange execution sequence, and droop control of dispatchable sources are jointly optimized to mitigate line-switching disturbances that occur when transitioning to the new network configuration obtained in the first stage. The second stage model is a multi-objective MINLP. The proposed models are solved within the general algebraic modeling system (GAMS), utilizing a modified IEEE 33-bus system. Simulations are conducted to assess the significance of each proposed model, and the results reveal remarkable improvements in system loadability with the utilization of the first-stage model and significant reductions in the total switched power with the adoption of the second-stage model.

Protection and Control of Modern Power SystemsVol. 10(4)
Khalifa University of Science and Technology (AE), American University of Sharjah (AE), Qatar University (QA), University of Windsor (CA)
American University of Sharjah
Affordable and clean energy
Openalex Percentile: Top 3%
Microgrid Control and Optimization
7.29
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