Study of limiting capacity of distributed PV considering voltage quality control and source-load uncertainty

In this paper, the calculation method of the limiting capacity of distributed PV access to the distribution network is proposed by considering the uncertainties of load and PV output and voltage quality. Firstly, considering the uncertainty of load and PV output, a probabilistic power flow calculation model of distribution network with distributed PV is established based on the semi-invariant method and Gram-Charlier series expansion. Then, taking the ultimate capacity of distributed PV access as the objective function, and considering the constraints of power reversal and power quality, the chance-constrained programming model of the ultimate capacity of distributed PV access to the distribution network is established, and the particle swarm algorithm is used to find the optimal solution. Finally, an example is carried out based on the improved IEEE34 node system to verify the feasibility of the method proposed in this paper. The quantitative influence of load fluctuations, confidence levels and shape parameters of light intensity on the PV ultimate access capacity is discussed.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icesep66633.2025.11155471
Primary Topic
Power Systems and Renewable Energy
Type
article
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Study of limiting capacity of distributed PV considering voltage quality control and source-load uncertainty

Hua Yang, Hua Zhang, Qian Xie, Chang Liu et al.
Power Systems and Renewable Energy
article

Study of limiting capacity of distributed PV considering voltage quality control and source-load uncertainty

Hua Yang, Hua Zhang, Qian Xie, Chang Liu, Lin Xu
article en

Abstract

In this paper, the calculation method of the limiting capacity of distributed PV access to the distribution network is proposed by considering the uncertainties of load and PV output and voltage quality. Firstly, considering the uncertainty of load and PV output, a probabilistic power flow calculation model of distribution network with distributed PV is established based on the semi-invariant method and Gram-Charlier series expansion. Then, taking the ultimate capacity of distributed PV access as the objective function, and considering the constraints of power reversal and power quality, the chance-constrained programming model of the ultimate capacity of distributed PV access to the distribution network is established, and the particle swarm algorithm is used to find the optimal solution. Finally, an example is carried out based on the improved IEEE34 node system to verify the feasibility of the method proposed in this paper. The quantitative influence of load fluctuations, confidence levels and shape parameters of light intensity on the PV ultimate access capacity is discussed.

Electric Power Research Institute (US)
Openalex Percentile: Top 74%
Power Systems and Renewable Energy
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