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Power Measurement Using Adaptive Chirp Mode Decomposition for Electrical Vehicle Charging Load

Author

Listed:
  • Haili Ding

    (Marketing Service Center (Measurement Center), Ningxia Electric Power Co., Ltd., National Grid of China, Yinchuan 750001, China)

  • Rui Tian

    (Marketing Service Center (Measurement Center), Ningxia Electric Power Co., Ltd., National Grid of China, Yinchuan 750001, China)

  • Jinfei Wang

    (The College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Xiaomei Yang

    (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.

Suggested Citation

  • Haili Ding & Rui Tian & Jinfei Wang & Xiaomei Yang, 2023. "Power Measurement Using Adaptive Chirp Mode Decomposition for Electrical Vehicle Charging Load," Energies, MDPI, vol. 16(14), pages 1-13, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5305-:d:1191502
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    References listed on IDEAS

    as
    1. Shaobo Liu & Kang He & Xiaofeng Pan & Yangyang Hu, 2023. "Review of Development Trend of Transportation Energy System and Energy Usages in China Considering Influences of Intelligent Technologies," Energies, MDPI, vol. 16(10), pages 1-36, May.
    2. Xiangfu Ding & Haojie Shi & Yingjian Wang & Yong Zhuang & Guangming Yuan & Shuzhen Zhu, 2023. "Research on Harmonic Management of Single-Phase AC Charging Pile Based on Active Filtering," Energies, MDPI, vol. 16(6), pages 1-11, March.
    3. Hong Zhao & Li Wang & Zonghai Chen & Xiangming He, 2019. "Challenges of Fast Charging for Electric Vehicles and the Role of Red Phosphorous as Anode Material: Review," Energies, MDPI, vol. 12(20), pages 1-23, October.
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