Research on the Influence of Distributed Photovoltaics on Distribution Network Voltage in Three-phase Unbalanced State

Li, Guoxin; Li, Jie; Li, Linyun; Sizheng, Yu; Wang, Nan; Pan, Shiyao; Ding, Hao; Su, Ziqing

doi:10.1109/icpet55165.2022.9918244

Cited by 3 publications

(2 citation statements)

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“…Three-phase voltage {U A , U B , U C }, three-phase current {I A , I B , I C }, three-phase power factor angle {θ A , θ B , θ C } and neutral line current {I n } are selected as the comparison sequence {Z 1 , Z 2 , Z 3 , Z 4 , Z 5 , Z 6 , Z 7 , Z 8 , Z 9 , Z 10 }, as shown in (2).…”

Section: Distribution Network Data Processingmentioning

confidence: 99%

“…On the one hand, the large-scale electric vehicles connected to the distribution network will have an impact on the three-phase unbalance of the distribution network. On the other hand, distributed photovoltaic sources may cause three-phase unbalance and increase transformer loss in the special operation [2]. In a word, the conventional power flow calculation method is not suitable for unbalanced distribution networks.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Prediction of Transformer Loss for Low Voltage Recovery in Distribution Network with Unbalanced Load

Dai,

Shi,

Zhu

et al. 2023

Energies

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In order to solve the problem of low voltage caused by unbalanced load in the distribution network, a transformer loss intelligent prediction model under unbalanced load is proposed. Firstly, the mathematical model of a transformer with an unbalanced load is established. The zero-sequence impedance and neutral line current of the transformer are calculated by using the Chaos Game Optimization algorithm (CGO), and the correctness of the mathematical model is proved by using actual data. Then, the correlation among network input variables is eliminated by using Principal Component Analysis (PCA), so the number of network input variables is decreased. At the same time, Sparrow Search Algorithm (SSA) is used to optimize the initial weight and threshold of the BP network, and an accurate transformer loss prediction model based on the PCA-SSA-BP is established. Finally, compared with the transformer loss prediction model based on BP network, Genetic Algorithm optimized BP network (GA-BP), Particle Swarm optimized BP network (PSO-BP) and Sparrow Search Algorithm optimized BP network (SSA-BP), the transformer loss prediction model based on PCA-SSA-BP network has been proven to be accurate by using actual data and it is helpful for low-voltage recovery in the distribution network.

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Section: Distribution Network Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent Prediction of Transformer Loss for Low Voltage Recovery in Distribution Network with Unbalanced Load

Dai,

Shi,

Zhu

et al. 2023

Energies

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Comprehensive Control Method of Three-Phase Load Imbalance Considering Distributed Photovoltaic Generation

Tang

Chen³

et al. 2023

2023 7th International Conference on Green Energy and Applications (ICGEA)

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Voltage and Current Unbalance Reduction in Power Networks with Distributed Generation and Electric Vehicles

Dobrzynski,

Czapp

2024

Energies

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The current development of prosumer microsources and the expected spread of electric vehicles may cause the appearance of significant current and voltage unbalance in low-voltage (LV) networks. This unbalance, which is an unfavorable phenomenon, may occur when using single-phase photovoltaic (PV) microsources and single-phase home chargers for electric vehicles. This paper presents a proposal for the symmetrization of the LV network using devices for the reconfiguration of phases in the power supply. Both the different locations of these devices and the different objective functions for device implementation are analyzed. The research was carried out on an example LV network, taking into account several variants of the development of PV microsources and home chargers for electric vehicles. The analysis indicates that the appropriate location of phase reconfiguration devices and the use of an appropriate objective function leads to a significant reduction in unfavorable unbalancing in the LV network.

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Research on the Influence of Distributed Photovoltaics on Distribution Network Voltage in Three-phase Unbalanced State

Cited by 3 publications

References 0 publications

Intelligent Prediction of Transformer Loss for Low Voltage Recovery in Distribution Network with Unbalanced Load

Intelligent Prediction of Transformer Loss for Low Voltage Recovery in Distribution Network with Unbalanced Load

Comprehensive Control Method of Three-Phase Load Imbalance Considering Distributed Photovoltaic Generation

Voltage and Current Unbalance Reduction in Power Networks with Distributed Generation and Electric Vehicles

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