Optimum Allocation and Sizing of Storages with Multi-Objective Grey Wolf Optimizer

This study employs the Multi-Objective Grey Wolf Optimizer (MOGWO) to optimize the allocating and sizing of ESS in a modified IEEE 123 Bus Test System integrated with PV systems. The simulation was conducted on MATLAB and the load flow analysis were conducted using OpenDSS through COM interface. The analysis assesses both the operational and placement optimizations of ESSs, demonstrating significant improvements in reducing power loss and voltage deviations while ensuring economic viability. The inclusion of ESSs reduced overand under-voltage events by more than 50%, from 866 in the PVonly scenario to 409 with ESSs, and overall voltage deviation decreased from 7.108 p.u. to 6.809 p.u. The results indicate that optimized ESS deployment can lead to a more stable and efficient power grid, reinforcing the value of MOGWO in complex system optimization.

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Publication Details

Published
2024-09-21
DOI
https://doi.org/10.1109/idap64064.2024.10711002
Citations
2
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.70
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article

Optimum Allocation and Sizing of Storages with Multi-Objective Grey Wolf Optimizer

Cenk Andiç, Belgin Emre Türkay, Esra Aydın, Gunnur Yesilyurt
2 citations
Advanced Manufacturing and Logistics Optimization
0.70
article

Optimum Allocation and Sizing of Storages with Multi-Objective Grey Wolf Optimizer

Cenk Andiç, Belgin Emre Türkay, Esra Aydın, Gunnur Yesilyurt
article en
2 citations

Abstract

This study employs the Multi-Objective Grey Wolf Optimizer (MOGWO) to optimize the allocating and sizing of ESS in a modified IEEE 123 Bus Test System integrated with PV systems. The simulation was conducted on MATLAB and the load flow analysis were conducted using OpenDSS through COM interface. The analysis assesses both the operational and placement optimizations of ESSs, demonstrating significant improvements in reducing power loss and voltage deviations while ensuring economic viability. The inclusion of ESSs reduced overand under-voltage events by more than 50%, from 866 in the PVonly scenario to 409 with ESSs, and overall voltage deviation decreased from 7.108 p.u. to 6.809 p.u. The results indicate that optimized ESS deployment can lead to a more stable and efficient power grid, reinforcing the value of MOGWO in complex system optimization.

Istanbul Technical University (TR)
Openalex Percentile: Top 25%
Advanced Manufacturing and Logistics Optimization
0.70
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