Developed algorithm based on supply-demand-based optimizer for parameters estimation of induction motor

One of the most important topics that receive great attention due to its environmental consequences is the issue of the optimal use of electrical energy. In other ways, the induction motors of most industries are the main component as they consume the highest percentage of energy and this consumption depends on the internal parameters that control the operating conditions of the motor. Despite the success of applying many algorithms to calculate the parameters of induction motors, these algorithms have important defects; they often get suboptimal solutions as a result of an improper balance between exploitation and exploration in their search strategies. This paper applies a demand-based optimization (SDO) as an efficient and simple algorithm for estimating equivalent circuit parameters of induction motors. The variation between the calculated and manufacturer data are minimized as objective functions which considered in the torque (starting torque, maximum torque, and full load torque) and full load power factor. The results indicate that the SDO is superior as it has a less deviation than the results obtained with five recent techniques.