关键词: 铁路运输, 分相位置优化, 遗传算法, 纵断面设计, 综合成本

Abstract:

The position of the railway electrical resolver and the track gradient design are interacted. If the position of electrical resolver and track gradient are designed independently, the energy consumption of train movement and the travel time of users will be increased significantly, and even an unexpected train stop in the neutral zone occurs. To design the position of the railway electrical resolver and the track gradient scheme near the electrical resolver, this paper establishes a collaborative optimization model to minimize the sum of train energy cost, travel time cost, and construction cost, while the railway design specifications and train operation constraints are satisfied. An improved genetic algorithm based on an indirect coding method is developed to solve the proposed model. The case studies show that, in comparison with the actual design scheme of a high-speed railway line, the solution optimized by the proposed model can reduce the speed loss after the train passing through the electrical resolver as well as the energy consumption and time of the secondary traction. The optimized solution also saves the construction cost of the high-speed rail line and the overall saving of total cost reaches 9.2%.

Key words: railway transportation, electrical resolver position, genetic algorithm, track vertical alignment, comprehensive cost