ECO4-based modeling and optimization for trains synthetical energy saving

The ECO4 (Ecology, Economy, Efficiency and Energy) mode involving energy-saving methods could be divided into two parts, one is general dispatching decisions based on trains running, another is trains themselves structure optimization improvements. By the Hamilton function and Hopfield energy function définitions and representations, it raised the mathematical relationship that saving energy is equal to saving coefficients multiplied by original consumption weight values. It constructed the mathematics model of independent and related coupling coefficients, and by Kuhn-Tucker theorem and Lagrange multiplier methods, energy-saving classifiy hyperplanes were built. It allocated energy-saving coefficients of input sample space which could be mapped to hyperplanes feature space. According to convex quadratic programming calculation method, maximum energy saving rates could be figured out. Using simulation tool EnerGplan, it builded an virtual trains transportion system contained single and multiple electrify tracks and multiple point monitors. By monitoring the dynamic energy loss status of power supply net, it could test and verify the validity of all schemes selected.