Power Measurement Using Adaptive Chirp Mode Decomposition for Electrical Vehicle Charging Load
Author:
Ding Haili1, Tian Rui1, Wang Jinfei2, Yang Xiaomei2
Affiliation:
1. Marketing Service Center (Measurement Center), Ningxia Electric Power Co., Ltd., National Grid of China, Yinchuan 750001, China 2. The College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Abstract
Due to nonlinear components in the charging piles of electric vehicles, harmonics and nonstationary signals in the electric vehicle charging load bring voltage and current distortion, seriously affecting the accuracy of the power-related calculation in nonsinusoidal environments. This paper proposed a new approach to calculate the active power and root mean square values from decomposed components using the adaptive chirp mode decomposition (ACMD) method on voltage and current. The advantage of the ACMD-based method is that it correctly provides the power-related quantities of harmonics or nonstationary components for the electric vehicle charging load. The performance of the proposed method was verified using synthetic signals and simulation tests. The experimental results presented better estimations for each quantity defined in IEEE Standard 1459-2010, compared with the discrete wavelet transform approach.
Funder
Technology Research Project of Ningxia Electric Power Co., Ltd. National Grid of China, “Research on the Influence of Electric Vehicle Charging Load on the Accuracy of Electric Energy Measurement”
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
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