Heavy haul train energy consumption optimization method based on grey wolf optimization algorithm

Abstract

The invention relates to a heavy haul train energy consumption optimization method based on a grey wolf optimization algorithm. An ideal train operation curve is determined according to a train traction curve, a train braking force curve and a train operation resistance curve; a train total energy consumption model is constructed according to the ideal train operation curve, constraint conditionsare set, then an improved grey wolf optimization algorithm is used for determining the optimal solution of the train total energy consumption model, and therefore the optimal speed of each working condition is determined, and an optimal speed curve is obtained. The uphill and downhill of the heavy haul train are systematically analyzed, relative energy calculation is carried out according to the uphill and downhill, and the energy calculation method is more accurate. Meanwhile, the traditional grey wolf algorithm is improved, the grey wolf algorithm of a novel nonlinear convergence factor is adopted to perform energy consumption optimization analysis on the heavy haul train, and a reverse learning strategy, a mutation operator and the like are introduced, so that the probability of premature convergence of the algorithm is reduced, and the energy consumption optimization analysis precision is improved.

Description

technical field [0001] The invention belongs to the technical field of energy-saving optimization control of heavy-duty trains, and in particular relates to a method for optimizing energy consumption of heavy-duty trains based on a gray wolf optimization algorithm. Background technique [0002] Huge kinetic energy and potential energy will be occupied in the process of heavy-haul railway transportation, so it is very necessary to reduce the energy consumption during the operation of heavy-haul trains. At present, the energy-saving issues of trains are mainly considered to take measures from the aspects of energy-saving line design, lightweight vehicles, and the use of mobile block train control systems. Theoretically, some theories of energy-saving slope research can also be applied to heavy-duty railway lines. The problem of energy-saving control of trains running on undulating slope lines is much more complicated than that of running on flat roads. This invention considers...

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