Full
Outline
Because the operating conditions of urban rail transit systems are highly variable and load fluctuations are severe, traditional energy-saving methods based on static scenarios struggle to accommodate dynamic load demands effectively. Therefore, load scenarios must be accurately identified, and an energy-saving optimization method for flexible traction power supply systems is needed to achieve dynamic "scenario-strategy" matching and improve energy-saving performance. Accordingly, an energy-saving optimization approach for urban rail transit flexible traction power supply systems considering multiple load scenarios is proposed. First, a k-Medoids load clustering method based on t-SNE is designed. A strategy of clustering after dimensionality reduction is adopted to more accurately reflect the correlations between system load and operating periods and seasons. Second, an energy-saving optimization model for the flexible traction power supply system is constructed. Based on an intelligent optimization algorithm, the virtual resistance of traction substations is adjusted to minimize the total incoming energy of the system. Through simulation validation, the effectiveness of the proposed method is verified. The proposed load clustering method effectively extracts the inherent characteristics of the load, reveals the correlation between system load and operating periods and seasons, and identifies six specific operating scenarios. The proposed energy-saving optimization method achieves good energy-saving performance in various operating scenarios, with a maximum energy-saving rate of 4.07%. The energy-saving optimization method for urban rail flexible traction power supply system based on load clustering has connected the complete chain of "scene recognition-strategy matching-dynamic adjustment", which can provide important technical support for energy-saving operation of urban rail transit.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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