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电力牵引负荷建模是铁路电气化领域的一项基础工作,也极具有挑战性。根据电气化铁路牵引负荷的概率分布特征,提出利用供电范围内受流的电力机车数量、单车有功功率及空载损耗等决定性因素联合描述牵引负荷的基本思路,并给出通用函数式。然后,基于上述建模理论并针对客运专线的运行特点,提出采用2个服从正态分布的随机变量表征受流列车数量及单车有功功率,从而构建牵引负荷概率模型的具体方法。同时介绍了采用改进的连续域蚁群算法实现客运专线牵引负荷模型的参数辨识的具体步骤,包括目标函数和相关算子的设计等。实例求解和仿真结果表明所提负荷模型具有较高的准确性和良好的易用性。
Electric traction load modeling is a basic work in the field of railway electrification, which is also very challenging. According to the probability distribution characteristics of traction load of electrified railway, the paper presents the basic idea of using the decisive factors such as the number of electric locomotives, the active power of the bicycle and the no-load loss to describe the traction load, and gives the general function formula. Then, based on the above modeling theory and according to the characteristics of the operation of the passenger dedicated line, two concrete methods of building the probability model of traction load are proposed by using two random variables subject to normal distribution to characterize the number of trains and the active power of the bicycle. At the same time, the paper introduces the concrete steps of using the continuous domain ant colony algorithm to realize the parameter identification of the traction load model of the passenger dedicated line, including the design of the objective function and related operators. The solution and simulation results show that the proposed model has high accuracy and good usability.