Transfer of Harmonics in Distribution Networks

Nakhodchi, Naser; Bollen, M.H.J.; Busatto, Tatiano

doi:10.1109/tpwrd.2021.3094912

Cited by 8 publications

(8 citation statements)

References 26 publications

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“…In addition, the transmission line is equivalent to a π‐type equivalent circuit, with Z L and Y L being the equivalent impedance and conductance of the line. The model of harmonic source can be considered as constant and equivalent to a constant current source 45 I h when the fundamental voltage is constant. For a non‐harmonic source load, its harmonic model can be equated to a branch connected to the ground, 25 where R load and X load are the equivalent resistance and equivalent reactance of the load.…”

Section: Problem Formulationmentioning

confidence: 99%

A line loss reduction optimization for renewable energy‐based distribution networks using a probabilistic approach

Jiang,

Han,

et al. 2023

Circuit Theory & Apps

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SummaryThe large integration of distributed generation (DG) and electric vehicles (EVs) facilitates daily life and reduces carbon emissions. However, it brings problems such as increased uncertainty and power electronic permeability to the distribution network. In this context, it is important to solve the line loss optimization problem as closely as possible to the real situation. Therefore, this paper solves the line loss optimization problem based on a probabilistic model of three‐phase unbalanced modern power electrical distribution network. Firstly, the paper proposes a frequency domain model of the distribution network and the optimization problem model. Then, to deal with the uncertainty of the system, the point estimation method (PEM) and Monte Carlo Simulation (MCS) are used. Finally, this paper proposes two optimization schemes considering the power quality when single and multiple DGs are integrated. The simulation results demonstrate that the PEM using the Gram–Charlier series expansion of the fourth‐order statistical moments to estimate the probability density function (PDF) is significantly less time consuming than the traditional MCS method while maintaining accuracy. The comparative analysis reveals that under the optimization scheme with single DG integration, the expected value of system line loss and expected line loss rate are reduced from 283.95 kW to 218.96 kW (22.89% reduction) and from 13.44% to 10.68%, respectively. Under the dual DG integrated optimization scheme, the expected value of line losses and expected line loss rate are reduced from 283.95 kW to 208.88 kW (26.4% reduction) and from 13.44% to 10.25%, respectively. However, after taking the uncertainty into account, the operational reliability of the system has been enhanced under different scenarios. In addition, it is found that the optimization approach incorporating multiple DG units can effectively mitigate the system line loss under diverse operational scenarios while enhancing the system's DG integration capability.

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Section: Problem Formulationmentioning

confidence: 99%

A line loss reduction optimization for renewable energy‐based distribution networks using a probabilistic approach

Jiang,

Han,

et al. 2023

Circuit Theory & Apps

View full text Add to dashboard Cite

show abstract

“…An existing network in the north of Sweden is modelled in MATLAB. This is the same model as used in [17] but the local LV network is modified for hosting an EV fast charging station. An 800 kVA (Dyn11) transformer supplies a fast charging station as well as 40 residential customers.…”

Section: Distribution Networkmentioning

confidence: 99%

“…The existing network has 8 MV feeders but here only one of them is modeled completely and it is used for extension of the MV network. More details about the LV and MV networks and the network component models are described in [17].…”

Section: Distribution Networkmentioning

confidence: 99%

“…Therefore, the network impedance seen from the point of connection of a charging station plays an important role in the harmonic hosting capacity calculation. It is shown in [17] that the details of the MV network and of other LV networks can affect the network harmonic impedance and can add more series and parallel resonant frequencies. The "remote LV customers" concept is introduced in [17] for referring to LV customers that are connected to other LV or MV networks than the local LV network under study.…”

Section: Introductionmentioning

confidence: 99%

“…It is shown in [17] that the details of the MV network and of other LV networks can affect the network harmonic impedance and can add more series and parallel resonant frequencies. The "remote LV customers" concept is introduced in [17] for referring to LV customers that are connected to other LV or MV networks than the local LV network under study. However, in previous hosting capacity studies, the upstream network has been taken into account either by means of short circuit power neglecting details of the MV network and remote LV loads [4,[18][19][20] or by considering MV network but aggregating all LV loads at LV side of MV/LV transformers [14].…”

Section: Introductionmentioning

confidence: 99%

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