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.
| Original language | English |
|---|---|
| Title of host publication | 8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331531492 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 - Malatya, Turkey Duration: 21 Sept 2024 → 22 Sept 2024 |
Publication series
| Name | 8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 |
|---|
Conference
| Conference | 8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 |
|---|---|
| Country/Territory | Turkey |
| City | Malatya |
| Period | 21/09/24 → 22/09/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- energy storage systems
- multi-objective grey wolf optimizer
- optimization
- renewable energy
Fingerprint
Dive into the research topics of 'Optimum Allocation and Sizing of Storages with Multi-Objective Grey Wolf Optimizer'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver