Abstract
Expanding multi-area interconnected power systems has made centralized optimization algorithms increasingly challenging to apply. Additionally, the integration of DERs into transmission networks remains under-explored. Although equivalent network approximations (ENA) are effective for distribution systems, their application in meshed transmission systems is difficult and challenging. This article proposes optimizing power flow in bulk power transmission grids using a modified ENA (MENA) framework. The method is based on Sequential Quadratic Programming (SQP) and is distributed in nature. DERs are incorporated into the transmission network and a voltage control methodology is proposed to mitigate voltage rise and dip events. The proposed method is validated using various IEEE test cases and an extensive transmission network. This approach outperforms existing methods such as ADMM, APP, and OCDC algorithms and has also proven highly effective in controlling voltage mismatches.
| Original language | English |
|---|---|
| Pages (from-to) | 4301-4312 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Industry Applications |
| Volume | 61 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
Funding
This work was supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Solar Energy Technology Office Award DE-EE0008774.
Keywords
- Modified equivalent network approximation (MENA)
- and voltage control
- distributed optimal power flow (D-OPF)
- sequential quadratic programming