Abstract
Batteries play a key role in today's power grid. In this paper, we investigate the impact of battery degradation on the distribution network. We formulate a multi-objective framework for optimizing battery scheduling with the goals of minimizing monetary costs and improving network performance. Our frame-work incorporates energy purchase and battery degradation into the costs and measures the network performance through energy losses and voltage deviation. We propose Bach for battery degradation-aware scheduling based on s-constraint and fuzzy logic methods. Bach is implemented for the IEEE 33-bus network for an experimental study. The results show the effectiveness of Bach in optimizing costs and performance simultaneously with battery degradation awareness and demonstrate the flexibility of further customization.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE Region 10 Conference 2024 |
| Subtitle of host publication | Artificial Intelligence and Deep Learning Technologies for Sustainable Future, TENCON 2024 |
| Editors | Bin Luo, Sanjib Kumar Sahoo, Yee Hui Lee, Christopher H T Lee, Michael Ong, Arokiaswami Alphones |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1044-1047 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798350350821 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | 2024 IEEE Region 10 Conference, TENCON 2024 - Singapore, Singapore Duration: Dec 1 2024 → Dec 4 2024 |
Publication series
| Name | IEEE Region 10 Annual International Conference, Proceedings/TENCON |
|---|---|
| ISSN (Print) | 2159-3442 |
| ISSN (Electronic) | 2159-3450 |
Conference
| Conference | 2024 IEEE Region 10 Conference, TENCON 2024 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 12/1/24 → 12/4/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
ASJC Scopus Subject Areas
- Computer Science Applications
- Electrical and Electronic Engineering
Keywords
- battery health monitoring
- multi-objective
- renewable energy
- smart grid
