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A flexible constant power generation scheme for photovoltaic system by error-based active disturbance rejection control and perturb & observe

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  • Hou, Guolian
  • Ke, Yin
  • Huang, Congzhi

Abstract

Maximum power point tracking technique is adopted in most photovoltaic (PV) power plants in order to improve the power conversion efficiency. However, with the expansion of PV installed capacity, PV systems are facing a series of challenges, including overload, overvoltage, and frequency deviation. In addition, the intermittence of photovoltaic power generation brings uncertain disturbances to the system. Therefore, it is necessary to realize PV constant power generation (CPG) in the presence of grid side and plant side. Traditional CPG algorithm based on perturb & observe is faced with low dynamic performance and large tracking error. To this end, a CPG scheme based on the error-based active disturbance rejection control (EADRC) approach and the perturb & observe method is proposed to obtain faster dynamic performance and lower power oscillation. In the scheme, the operation modes can be switched adaptively, and the operation points can be moved flexibly. In order to achieve optimal performance, the double-quantum chaotic social spider optimization algorithm is put forward to optimize the EADRC parameters. Finally, the feasibility and effectiveness of the proposed EADRC based CPG scheme have been validated experimentally, the results clearly demonstrate the capability of proposed CPG strategy in tracking the power reference with the tracking error of 0.21 % and settling time of 0.019s.

Suggested Citation

  • Hou, Guolian & Ke, Yin & Huang, Congzhi, 2021. "A flexible constant power generation scheme for photovoltaic system by error-based active disturbance rejection control and perturb & observe," Energy, Elsevier, vol. 237(C).
    • Handle: RePEc:eee:energy:v:237:y:2021:i:c:s0360544221018946
    DOI: 10.1016/j.energy.2021.121646
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    Cited by:

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    2. Liu, Xiangjie & Zhu, Zheng & Kong, Xiaobing & Ma, Lele & Lee, Kwang Y., 2023. "An economic model predictive control-based flexible power point tracking strategy for photovoltaic power generation," Energy, Elsevier, vol. 283(C).
    3. Jose Miguel Riquelme-Dominguez & Jesús Riquelme & Sergio Martinez, 2022. "New Trends in the Control of Grid-Connected Photovoltaic Systems for the Provision of Ancillary Services," Energies, MDPI, vol. 15(21), pages 1-11, October.
    4. Hou, Guolian & Huang, Ting & Huang, Congzhi, 2023. "Flexibility improvement of 1000 MW ultra-supercritical unit under full operating conditions by error-based ADRC and fast pigeon-inspired optimizer," Energy, Elsevier, vol. 270(C).
    5. Ahmad Taher Azar & Azher M. Abed & Farah Ayad Abdulmajeed & Ibrahim A. Hameed & Nashwa Ahmad Kamal & Anwar Jaafar Mohamad Jawad & Ali Hashim Abbas & Zainab Abdulateef Rashed & Zahraa Sabah Hashim & Mo, 2022. "A New Nonlinear Controller for the Maximum Power Point Tracking of Photovoltaic Systems in Micro Grid Applications Based on Modified Anti-Disturbance Compensation," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    6. Sakshi Sharma & Vibhu Jately & Piyush Kuchhal & Peeyush Kala & Brian Azzopardi, 2023. "A Comprehensive Review of Flexible Power-Point-Tracking Algorithms for Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 16(15), pages 1-28, July.
    7. Zhu, Zheng & Chen, Sian & Kong, Xiaobing & Ma, Lele & Liu, Xiangjie & Lee, Kwang Y., 2024. "A centralized EMPC scheme for PV-powered alkaline electrolyzer," Renewable Energy, Elsevier, vol. 229(C).

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