A Golden Section Search Algorithm Based Loss Minimization for Induction Motor Drive

Rai, Kirti; Seksena, S. B. L.; Thakur, Amarnath

doi:10.15676/ijeei.2019.11.1.9

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…Optimum stator magnetic flux for energy-efficient control at low torques [117] 56 Improving energy efficiency through an improved method for sustainable direct torque control [118] 57 Strategy for improved vector control by increasing stability at load drift and reducing the losses of an induction motor drive system [119] 58 Controllers with fuzzy logic and search algorithms to optimize energy efficiency through control of the magnetic flux in the air gap [120] 59 Rotor current frequency effect during control with two frequency converters of a wound-rotor induction motor [121] 60 Loss controller based on golden section search algorithms for optimizing the energy efficiency of induction drives [122]…”

Section: Energy-efficient Operating Modes Of Drivesmentioning

confidence: 99%

Energy Efficiency of Induction Motor Drives: State of the Art, Analysis and Recommendations

Dinolova,

Ruseva,

Dinolov

2023

Energies

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Despite activities to introduce low-carbon energy sources worldwide, the share of conventional facilities burning organic fuels remains high. One approach to address this problem is to look for solutions to reduce energy consumption. There are various research projects in the area of energy efficiency that lead to diverse results—such as models, methodologies, new data and theories. On the other hand, induction motor drives are becoming a major consumer of electric power because of their wide range of applications. In this paper, after careful selection and systematization of 151 literature sources, an extensive study and criteria analysis of the existing state of affairs in the area of energy efficiency improvement of induction motor drives has been carried out. Five major and 48 minor research areas in this field have been identified. The results show that issues related to the adaptation of scientific results and the conditions for their effective and wide-ranging application in practice have not been discussed and investigated so far. Adaptation should take into account the possibilities of data acquisition, including data from measurements; the competences of energy managers; and the type of information provided to them. Based on the seven conclusions formulated below, summary recommendations are made to direct future research towards the justification of models for increasing the power efficiency of induction drives, adapted for use by energy managers.

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