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.
Authors
- Cenk Andiç (ORCID: https://orcid.org/0000-0003-1123-899X)
- Belgin Emre Türkay (ORCID: https://orcid.org/0000-0003-0922-8936)
- Esra Aydın (ORCID: https://orcid.org/0000-0002-1500-0092)
- Gunnur Yesilyurt
Institutions
- Istanbul Technical University (TR)
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