Abstract
This Study proposes a stochastic optimization strategy for medium-voltage direct current (MVDC) systems to regulate power flows within distribution networks (DNs) in coordination with a battery energy storage system (BESS). The research addresses uncertainties arising from prediction errors in photovoltaic (PV) generation and load demand by applying a distributionally robust chance-constrained optimization method. To cooperatively optimize the operation of MVDC systems and BESS in DNs, the reliability constraints on bus voltage are stochastically relaxed, thereby maximizing the cost-effectiveness of DNs. Numerical simulations indicate that by reducing the conservativeness of the reliability constraints, the distribution system operator can achieve greater economic efficiency in electricity imports.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE International Conference on Consumer Electronics, ICCE 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331521165 |
| DOIs | |
| State | Published - 2025 |
| Event | 2025 IEEE International Conference on Consumer Electronics, ICCE 2025 - Las Vegas, United States Duration: 11 Jan 2025 → 14 Jan 2025 |
Publication series
| Name | Digest of Technical Papers - IEEE International Conference on Consumer Electronics |
|---|---|
| ISSN (Print) | 0747-668X |
| ISSN (Electronic) | 2159-1423 |
Conference
| Conference | 2025 IEEE International Conference on Consumer Electronics, ICCE 2025 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas |
| Period | 11/01/25 → 14/01/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- BESS
- Chance-constrained optimization
- Distribution networks
- MVDC
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