Voltage sag frequency kernel density estimation method considering protection characteristics and fault distribution

Wang, Ying; Luo, Hao; Xiao, Xianyong

doi:10.1016/j.epsr.2019.01.009

Cited by 27 publications

(13 citation statements)

References 20 publications

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“…It is improper to describe the distribution characteristics of BHV in different periods through a fixed parametric model because a considerable fitting error may be produced if a prior PDF is introduced to approximate the actual distribution. The nonparametric modeling methods are a better choice, among which kernel density estimation has broad applications [14]. The technique only relies on the sample data itself and makes no preassumptions about the actual probability distribution.…”

Section: Kernel Density Estimation With Optimal Bandwidthmentioning

confidence: 99%

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Background Harmonic Probabilistic Model for Harmonic Responsibility Assessment Based on Nonparametric Methods

Ding

Chen

2020

IEEJ Transactions Elec Engng

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As the increasing integration of inverter‐interfaced renewable energy generators intensifies the volatility and uncertainty of background harmonics in the utility system, it is crucial to construct a precise background harmonic model and determine the harmonic responsibility to promote harmonic management. This paper proposes a probabilistic model of background harmonics for harmonic responsibility assessment based on nonparametric methods. First, the amplitude data of background harmonic voltage are segmented in chronological order considering the stochastic features. Then, the nonparametric Bootstrap resampling is introduced to handle the case of insufficient samples, and the Kernel density estimation with optimal bandwidth is used to depict the probability distribution characteristics in each time interval. For the sake of identifying the piecewise probability density function with optimal fitting effect, the goodness‐of‐fit test is subsequently applied. Finally, based on the proposed background harmonic probabilistic model, the harmonic responsibility assessment is conducted without the involvement of phase angle information. The detailed performance verification of the proposed model is carried out in light of the field‐measured data. The results validate that the proposed model outperforms the conventional parametric models in handling insufficient data and fitting accuracy and is helpful to achieve the effective quantification of the overall harmonic responsibility within a period of time. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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Section: Kernel Density Estimation With Optimal Bandwidthmentioning

confidence: 99%

“…Meanwhile, 1440 groups of amplitude data of BHV were sampled from the proposed probabilistic model. In other words, U h, PCC and U h0 in (14) were obtained, and thus U h, A could be calculated. Furthermore, the harmonic responsibilities of the wind farm during the 24 h were determined by (13).…”

Section: Analysis Of Harmonic Responsibility Assessmentmentioning

confidence: 99%

Background Harmonic Probabilistic Model for Harmonic Responsibility Assessment Based on Nonparametric Methods

Ding

Chen

2020

IEEJ Transactions Elec Engng

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“…Therefore, under the constraint of sag observability, it is of great theoretical value and engineering significance to develop a multi-objective optimal placement model considering the number of monitors and the risk of customer sag economic loss. In addition, the scope of the voltage sag sensitive area is further expanded (Wang et al, 2019;Zhang et al, 2021) due to new energy grid capacity limitations and control characteristics (Fu et al, 2021a;Tian et al, 2021), which correspondingly increase the risk of the above-mentioned missed measurement events for customers. Therefore, in a power grid dominated by distributed power generation (Du et al, 2020;Du et al, 2021), it is essential to consider the economic losses of customers in the optimal placement of monitors.…”

Section: Introductionmentioning

confidence: 99%

Optimized Placement of Voltage Sag Monitors Considering Distributed Generation Dominated Grids and Customer Demands

Wang

et al. 2021

Front. Energy Res.

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Voltage sag causes serious economic losses to sensitive customers. However, the existing optimal placement methods of sag monitors ignore the economic needs of customers. The optimal placement model of voltage sag monitor is proposed in this paper, which considers the sag economic loss weight, realizes the redundant coverage of important customers, and reduces the risk of sag loss of them. The model is also suitable for the system with a large number of DG access. Firstly, the calculation model of exposed area based on Chebyshev iterative method is established to obtain the system exposed area quickly, and the influence of DG replacing traditional generator on exposed area and economic loss is analyzed qualitatively. Then, the economic loss is quantitatively evaluated based on the exposed area. What’s more, the priority of important customers is determined accordingly, and the optimal placement model of sag monitor is proposed. Finally, simulation results show that in large-scale DG access, the customer’s economic loss caused by sag will increase. Compared with traditional methods, this method can reduce the risk of loss and ensure the economic benefits of important customers.

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“…Currently, voltage waveform namely swells and sags are the most problems in the electric power system and quality problems [1,2]. Enhance the performance of the power system adding some controllable custom power devices like dynamic voltage restorer fed voltage source, current source and Z-Source inverters [3][4][5]. The disadvantages of a classical dynamic voltage restorer fed voltage and current source converters are explained in [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of Solar Photovoltaic fed Z-Source Inverter based Dynamic Voltage Restorer

2019

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Z-Source Inverter (ZSI) is a new topology in power converter especially in DC-AC converter at a very interesting power level. For an instance, it only uses a single-stage power converter with the ability of buckboost characteristic operations. This work introduces a combination of a solar system with dynamic voltage restorer based Z-source inverter for reducing the voltage swell and harmonics under sudden addition of a balanced three-phase nonlinear load. This article also focuses on perturb and observe (P&O) algorithm for automatically find the PV systems operating voltage that produces a maximum power output. The proposed dynamic voltage restorer fed Z-source inverter is designed and modeled by using MATLAB/SIMULINK. The got outcomes are contrasted with classical dynamic voltage restorer fed voltage and current source inverters.

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Voltage sag frequency kernel density estimation method considering protection characteristics and fault distribution

Cited by 27 publications

References 20 publications

Background Harmonic Probabilistic Model for Harmonic Responsibility Assessment Based on Nonparametric Methods

Background Harmonic Probabilistic Model for Harmonic Responsibility Assessment Based on Nonparametric Methods

Optimized Placement of Voltage Sag Monitors Considering Distributed Generation Dominated Grids and Customer Demands

Design and Analysis of Solar Photovoltaic fed Z-Source Inverter based Dynamic Voltage Restorer

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