Abstract
Railway smart power systems (RSPSs) integrated with power flow controllers (PFC) and energy storage (ES) have shown to effectively manage peaks and valleys in railway traction loads, and improve the utilization of energy. However, concerns over the efficiency operation of RSPSs under uncertainty challenge have been raised. In this paper, a stochastic optimal operation model is established, which sets the minimum daily operation energy cost, the control scheme of PFC and charging/discharging strategy of ES as decision variables, and uncertainty of traction load is treated as a chance-constrained power flow condition.
The case study results show that the proposed optimal energy dispatch can release 32% of the operating cost under uncertain conditions.
The case study results show that the proposed optimal energy dispatch can release 32% of the operating cost under uncertain conditions.
| Original language | English |
|---|---|
| Pages (from-to) | 89-93 |
| Number of pages | 5 |
| Journal | IET Conference Proceedings |
| Volume | 2023 |
| Issue number | 29 |
| Early online date | 18 Dec 2023 |
| DOIs | |
| Publication status | Published - 6 Aug 2024 |
| Event | Renewable Power Generation and Future Power Systems Conference 2023 (RPG 2023 UK) - Glasgow, United Kingdom Duration: 15 Nov 2023 → 16 Nov 2023 |
Keywords
- Railway smart power systems (RSPSs)
- efficiency
- operating cost