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An Energy-Based Control Strategy for Battery Energy Storage Systems: A Case Study on Microgrid Applications

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  • Rui Hou

    (Department of Electrical Engineering, Incheon National University, (Songdo-dong) 119 Academy-ro, Yeonsu-gu, Incheon 22012, Korea
    School of Information and Electrical Engineering, Harbin Institute of Technology at Weihai, No.2 in Wenhua Xi Road, Weihai 264209, China)

  • Thai-Thanh Nguyen

    (Department of Electrical Engineering, Incheon National University, (Songdo-dong) 119 Academy-ro, Yeonsu-gu, Incheon 22012, Korea)

  • Hak-Man Kim

    (Department of Electrical Engineering, Incheon National University, (Songdo-dong) 119 Academy-ro, Yeonsu-gu, Incheon 22012, Korea)

  • Huihui Song

    (School of Information and Electrical Engineering, Harbin Institute of Technology at Weihai, No.2 in Wenhua Xi Road, Weihai 264209, China)

  • Yanbin Qu

    (School of Information and Electrical Engineering, Harbin Institute of Technology at Weihai, No.2 in Wenhua Xi Road, Weihai 264209, China)

Abstract

Battery energy storage systems (BESSs) with proportional-integral (PI) control methods have been widely studied in microgrids (MGs). However, the performance of PI control methods might be unsatisfactory for BESSs due to the nonlinear characteristics of the system. To overcome this problem, an energy-based (EB) control method is applied to control the converter of a BESS in this study. The EB method is a robust nonlinear control method based on passivity theory with good performance in both transient and steady states. The detailed design process of the EB method in the BESS by adopting an interconnection and damping assignment (IDA) strategy is described. The design process comprises three steps: the construction of the port-controlled Hamiltonian model, the determination of the equilibrium point and the solution of the undetermined matrix. In addition, integral action is combined to eliminate the steady state error generated by the model mismatch. To establish the correctness and validity of the proposed method, we implement several case simulation studies based on a test MG system and compare the control performance of the EB and PI methods carefully. The case simulation results demonstrate that the EB method has better tracking and anti-disturbance performance compared with the classic PI method. Moreover, the proposed EB method shows stronger robustness to the uncertainty of system parameters.

Suggested Citation

  • Rui Hou & Thai-Thanh Nguyen & Hak-Man Kim & Huihui Song & Yanbin Qu, 2017. "An Energy-Based Control Strategy for Battery Energy Storage Systems: A Case Study on Microgrid Applications," Energies, MDPI, vol. 10(2), pages 1-20, February.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:215-:d:90201
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    Citations

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    Cited by:

    1. Dante Mora & Ciro Núñez & Nancy Visairo & Juan Segundo & Eugenio Camargo, 2019. "Control for Three-Phase LCL-Filter PWM Rectifier with BESS-Oriented Application," Energies, MDPI, vol. 12(21), pages 1-17, October.
    2. Frate, G.F. & Cherubini, P. & Tacconelli, C. & Micangeli, A. & Ferrari, L. & Desideri, U., 2019. "Ramp rate abatement for wind power plants: A techno-economic analysis," Applied Energy, Elsevier, vol. 254(C).
    3. Yu-Shan Cheng & Yi-Hua Liu & Holger C. Hesse & Maik Naumann & Cong Nam Truong & Andreas Jossen, 2018. "A PSO-Optimized Fuzzy Logic Control-Based Charging Method for Individual Household Battery Storage Systems within a Community," Energies, MDPI, vol. 11(2), pages 1-18, February.
    4. Muhammad Jabir & Hazlee Azil Illias & Safdar Raza & Hazlie Mokhlis, 2017. "Intermittent Smoothing Approaches for Wind Power Output: A Review," Energies, MDPI, vol. 10(10), pages 1-23, October.
    5. Silvio Antonio Teston & Kaio Vinicius Vilerá & Marcello Mezaroba & Cassiano Rech, 2020. "Control System Development for the Three-Ports ANPC Converter," Energies, MDPI, vol. 13(15), pages 1-14, August.
    6. Qitian Mu & Yajing Gao & Yongchun Yang & Haifeng Liang, 2019. "Design of Power Supply Package for Electricity Sales Companies Considering User Side Energy Storage Configuration," Energies, MDPI, vol. 12(17), pages 1-16, August.

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