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

Guolian Hou, Yin Ke and Congzhi Huang

Energy, 2021, vol. 237, issue C

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.

Keywords: Photovoltaic constant power generation; Error-based active disturbance rejection control; Double-quantum chaotic social spider optimization; Parameters tuning (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:237:y:2021:i:c:s0360544221018946

DOI: 10.1016/j.energy.2021.121646

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