关键词: 带式输送机, 节能策略, 分时电价, 遗传算法, 成本节约

Abstract: This paper aims at the energy saving strategy for belt conveyors. The energy consumption mathematic model and electric cost model are built respectively. The key influence factors of the energy consumption and electric cost can be obtained. A genetic global optimization algorithm is adopted to find the optimal coal flow and the operating speed by time-of-use tariff constraint. An economy benefit comparison of optimal energy saving transportation strategy and its normal operation strategy is taken. The results of comparison shows that under the current circumstance of technology and equipment. A 45 percentage energy saving and 42 percentage electric cost saving can be implemented by the optimal energy saving transportation strategy. The cost of the coal transportation can be reduced and the economy benefit of coal mines can be enhanced by this method. In addition, the delicacy management of mining and transportation of the coal mine can be achieved.