A Methodology for Power Dispatch Based on Traction Substation Clusters in Flexible Traction Power Supply System
The flexible traction power supply system (FTPSS) eliminates neutral zones but leads to increased complexity in power flow coordinated control among multiple traction stations (TSs). To address the challenges, a power dispatch methodology based on TS clusters for FTPSS is proposed, involving decentralized local phase angle control within each TS cluster. The methodology consists of three stages. In the first stage, the TS cluster is transformed into an equivalent model with a fixed topology, allowing the power dispatch problem to be formulated as a set of numerical equations. In the second stage, utilizing the feasible phase angle domain calculation method, active and reactive power circulation is either entirely suppressed or precisely constrained within specified tolerances. In the third stage, reference phase angles are determined based on the specified power dispatching mode. All stages are addressed using a unified trust-region with dogleg path numerical optimization algorithm, which completely eliminates online power flow calculations. Simulation studies demonstrate that the proposed method enables power flow management under various dispatching modes for traction loads and regenerative braking energy with low computational delay, while also effectively suppressing power circulation, thus enhancing the flexibility and real-time performance of TS power coordination dispatch within FTPSS.
Authors
- Qifang Chen (ORCID: https://orcid.org/0000-0002-5106-9417)
- Qianhao Sun (ORCID: https://orcid.org/0000-0002-4870-570X)
- Ruofan Li (ORCID: https://orcid.org/0000-0002-9071-8627)
- Mingchao Xia (ORCID: https://orcid.org/0000-0003-2110-5699)
Institutions
- Beijing Jiaotong University (CN)
Publication Details
- Journal
- IEEE Transactions on Transportation Electrification
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1109/tte.2025.3565948
- Citations
- 1
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- National Natural Science Foundation of China
- Key Programme