基于遗传算法的感应电机磁场效率评估,用于能源审计和管理

M. Aspalli, S. Shetagar, S. F. Kodad
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引用次数: 19

摘要

本文提出了一种经济的方法,可以帮助电厂做出正确的决策,将低效的异步电动机替换为高效的异步电动机。这种方法的重点是电机的现场效率,而不需要拆卸电机和测量输出功率。提出了利用现场试验的几组实测数据结合遗传算法来评估电机等效电路参数,而不是使用空载和堵转子试验,以说明估计的效率与标准评估的计算结果的匹配程度。测试结果表明,该方法具有较高的准确性,因此适用于对电机进行现场能源审计,以节省成本和回报,并支持对更高效率电机投资的信心决策。随着能源成本的高速增长,工业可以通过用新的更节能的电机取代低效的电机来节省大量的资金。
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Estimation of induction motor field efficiency for energy audit and management using genetic algorithm
This paper proposes an economical method that can help the plants to make right decision in replacing the inefficient induction motors with efficient ones. This method focuses on the field efficiency of motors without the needs for removing motors and measuring the output power. The use of a few sets of measured data from field test coupled with the genetic algorithms for evaluating motor equivalent circuit parameter instead of using the no load and blocked-rotor tests is proposed, to illustrate how well the estimated efficiency matches that of calculated obtained from the standard evaluations. Test results indicate that this method has a high accuracy, then it is suitable for conducting onsite energy audits of motors in order to project cost savings and payback and to support a confidence decision regarding the investment in higher efficiency motors. As the cost of energy is growing at a high rate, the industries can save a considerable amount of money by replacing inefficient motors with new more energy-efficient ones.
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