Parameter Identifications of WPT systems using GA, ADE, 2-layer ADE

Citation Author(s):
Yun
Yang
Submitted by:
Yun Yang
Last updated:
Tue, 05/17/2022 - 22:17
DOI:
10.21227/pn1e-ea47
Data Format:
Excel
Research Article Link:
Front-End Parameter Monitoring Method Based on Two-Layer Adaptive Differential Evolution for SS-Compensated Wireless Power Transfer Systems
License:
Creative Commons Attribution
210 Views
Categories:
Power and Energy
Keywords:
Wireless Power Transfer, Parameter Identification, Genetic Algorithm, Adaptive Differential Evolution, Two-layer Adaptive Differential Evolution
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Abstract 

This is the data of the identified parameters of practical series-series (SS)-compensated wireless power transfer (WPT) systems based on the Genetic Algorithm, Adaptive Differential Evolution, and two-layer Adaptive Differential Evolution. These data strongly validate the accuracy of the Adaptive Differential Evolution to identify the parameters of a two-coil SS-compensated WPT and the two-layer Adaptive Differential Evolution to identify the parameters of a three-coil SS-compensated WPT system. The data can be adopted as a reference for future investigations. 

Instructions: 

The data include actual parameter values, estimated parameter values, and their relative errors based on Genetic Algorithm, Adaptive Differential Evolution, and two-layer Adaptive Differential Evolution. Ten independent identifications are carried out based on the Genetic Algorithm for different cases of two- and three-coil WPT systems. The identifications with optimal population size based on Adaptive Differential Evolution and two-layer Adaptive Differential Evolution are also carried out for different cases of two- and three-coil WPT systems.

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