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| Content Provider | IET Digital Library |
|---|---|
| Author | Xing, Chen Li, Kang Zhang, Li Li, Wei |
| Abstract | In railway traction power supply, co-phase system with hybrid power quality conditioner (HPQC) is capable of tackling the power quality issues caused by single-phase traction loads. To further reduce the overall carbon emissions in railway systems, this paper considers to integrate the renewable energy with railway power supply, which however leads to a more complicated system to model, design and control. This paper first investigates its modelling aspect. To reduce the operating capacity of HPQC while addressing the power unbalance, optimal design of the compensation scheme for co-phase system is formulated as a multi-objective optimization problem which is then solved by the nondominated sorting genetic algorithm-II (NSGA-II). To eliminate the impact of errors arising from imperfect predictions of the loads and renewable power, a hybrid optimal compensation control is proposed, yielding full and optimal compensations. Comprehensive simulation studies, considering three operation modes covering variable traction loads, renewable and regenerative braking power, are conducted. The simulation results confirm the validity of the proposed optimal compensation scheme, achieving an average of more than 20% reduction in HPQC capacity compared to the full compensation scheme. Meanwhile, the power quality requirement is satisfied, even in the presence of real-time prediction errors. |
| Starting Page | 3668 |
| Ending Page | 3678 |
| Page Count | 11 |
| ISSN | 17521416 |
| Volume Number | 14 |
| e-ISSN | 17521424 |
| Issue Number | Issue 18, Dec (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2020.0130 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/14/18 |
| Journal | IET Renewable Power Generation |
| Publisher Date | 2020-12-18 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Carbon Emission Complex System Genetic Algorithm Harmonics HPQC Capacity Hybrid Optimal Compensation Control Hybrid Power Quality Conditioner Multiobjective Optimisation Problem NSGA-II Optimal Compensation Scheme Optimal Control Optimisation Technique Power Converter Power Electronics Power Quality Requirement Power Supplies to Apparatus Power Supply Power Supply Quality Power Unbalance Rail Traffic System Control Rail Transportation (energy Utilisation) Railway Co-phase Traction Power Supply Railway Electrification Regenerative Braking Renewable Energy Renewable Power Single-phase Traction Load Sorting Genetic Algorithm-II Supervisory Circuit Traction Power Supplies Transportation Variable Traction Load |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment |
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