A comprehensive assessment of PV inverters operating with droop control for overvoltage mitigation in LV distribution networks

Vergara, Pedro P.; Salazar, Mauricio Pérez; Mai, Thanh-Tam; Nguyen, Phuong H.; Slootweg, J.G.

doi:10.1016/j.renene.2020.05.151

Cited by 43 publications

(27 citation statements)

References 30 publications

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“…A combination of RPA and APC has been reported in [15][16][17] to be more promising for voltage rise mitigation. This type of combined method helps to mitigate voltage rise issues with a decreased amount of curtailed active power, as shown in [18]. However, a major disadvantage of this approach is the unfair contribution of active power curtailment among PV units to voltage rise prevention.…”

Section: Introductionmentioning

confidence: 99%

Adaptive coordination of sequential droop control for PV inverters to mitigate voltage rise in PV-Rich LV distribution networks

Mai

Haque

Vergara

et al. 2021

Electric Power Systems Research

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DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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Section: Introductionmentioning

confidence: 99%

Adaptive coordination of sequential droop control for PV inverters to mitigate voltage rise in PV-Rich LV distribution networks

Mai

Haque

Vergara

et al. 2021

Electric Power Systems Research

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“…The capability to describe the consumption patterns with a few parameters in a probabilistic representation is desired to compress large volumes of data in compact models. A stochastic model can also generate training databases of arbitrarily larger size, useful for machine learning tasks [9], and Monte Carlo methods [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Conditional Multivariate Elliptical Copulas to Model Residential Load Profiles From Smart Meter Data

Duque

Vergara

Nguyen

et al. 2021

IEEE Trans. Smart Grid

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The development of thorough probability models for highly volatile load profiles based on smart meter data is crucial to obtain accurate results when developing grid planning and operational frameworks. This paper proposes a new top-down modeling approach for residential load profiles (RLPs) based on multivariate elliptical copulas that can capture the complex correlation between time steps. This model can be used to generate individual and aggregated daily RLPs to simulate the operation of medium and low voltage distribution networks in flexible time horizons. Additionally, the proposed model can simulate RLPs conditioned to an annual energy consumption and daily weather profiles such as solar irradiance and temperature. The simulated daily profiles accurately capture the seasonal, weekends, and weekdays power consumption trends. Five databases with actual smart meter measurements at different time resolutions have been used for the model's validation. Results show that the proposed model can successfully replicate statistical properties such as autocorrelation of the time series, and load consumption probability densities for different seasons. The proposed model outperforms other multivariate state-of-the-art methods, such as Gaussian Mixture Models, by one order of magnitude in two different distance metrics for probability distributions.

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“…The LCF parameter is fixed by DSO since the installation of PV systems. For the relevant researches [8][9][10][11][12], the voltage regulation through the LCF application is studied. Here, the local control Q(U) function application changes the reactive power output when the voltage at the connection point of the PV system changes [8][9].…”

Section: Introductionmentioning

confidence: 99%

“…Alternatively, the local control P(U) function changes the real power output when the voltage at the connection point of the PV system changes [10]. Finally, a PV system with the application of various LCFs is studied [11][12], where the coordination of P(U) and Q(U) LCFs is recommended for the effective application of supporting high PV penetration in an LV distribution system.…”

Section: Introductionmentioning

confidence: 99%

Coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three‐phase unbalanced loads

Chanhome

Chaitusaney

2021

IET Renewable Power Gen

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At present, high penetration of photovoltaic (PV) systems on low voltage (LV) distribution systems is increasing worldwide because of several favourable conditions, such as government policies, decreasing cost of PV technologies, and environmental awareness. However, varying sunlight and three-phase unbalanced load conditions can result in voltage violation, especially an overvoltage problem, and voltage unbalanced conditions that deteriorate the power quality. Therefore, disconnection of PV systems, especially on the downstream node, can occur due to the overvoltage protection of the PV system, which results in PV owners losing revenue from selling electricity. Moreover, some electrical appliances can be damaged from voltage unbalanced conditions. To support a high PV penetration and prevent these adverse impacts, this study applies a control strategy involving coordination between the Central Control Unit (CCU) and Local Control Functions (LCFs) of PV systems. The CCU applies the Adaptive Tabu Search (ATS) technique to search for the optimal LCF parameter setting of PV systems and adjusted this weekly. The optimization problem is the maximization of real power generation from all PV systems under varying (uncertain) sunlight and three-phase unbalanced loads. MATLAB programming is used for the Newton-Raphson power flow simulation on a modified 19-node distribution system.

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A comprehensive assessment of PV inverters operating with droop control for overvoltage mitigation in LV distribution networks

Cited by 43 publications

References 30 publications

Adaptive coordination of sequential droop control for PV inverters to mitigate voltage rise in PV-Rich LV distribution networks

Adaptive coordination of sequential droop control for PV inverters to mitigate voltage rise in PV-Rich LV distribution networks

Conditional Multivariate Elliptical Copulas to Model Residential Load Profiles From Smart Meter Data

Coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three‐phase unbalanced loads

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