Probabilistic framework for evaluating droop control of photovoltaic inverters

Klonari, Vasiliki; Toubeau, Jean‐François; Vandoorn, Tine L.; Meersman, Bart; Grève, Zacharie De; Lobry, Jacques; Vallée, François

doi:10.1016/j.epsr.2015.07.009

Cited by 9 publications

(4 citation statements)

References 17 publications

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“…For the purpose of evaluating the benefit of the P/V droop control, all PV inverters were considered equipped with a P/V controller. The application of this control in the studied LV feeder, considering SM data for the month of July, demonstrated its efficiency for eliminating the overvoltage risk along the feeder [23]. In Figure 13, the voltage profile at node 14 for the droop control and for the on-off control scenario is indicatively presented for a period of two typical days of July.…”

Section: Evaluation Of the Strategies For Mitigating The Overvoltage mentioning

confidence: 97%

“…Obviously, this gradual smoothing of the voltage profile induces the curtailment of an amount of active PV power. As demonstrated in reference [23], the instantaneous curtailed PV energy can often be much more direct and higher for the on-off control. This argument can foster the acceptance of a certain control strategy, such as the P/V droop control, by the concerned PV customers.…”

Section: Renewable Energy -Utilisation and System Integrationmentioning

confidence: 99%

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Planning Tools for the Integration of Renewable Energy Sources Into Low- and Medium-Voltage Distribution Grids

Toubeau¹,

Klonari²,

Lobry³

et al. 2016

Renewable Energy - Utilisation and System Integration

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This chapter presents two probabilistic planning tools developed for the long-term analysis of distribution networks. The first one focuses on the low-voltage LV level and the second one addresses the issues occurring in the medium-voltage MV grid. "oth tools use Monte Carlo algorithms in order to simulate the distribution network, taking into account the stochastic nature of the loading parameters at its nodes. Section introduces the probabilistic framework that focuses on the analysis of LV feeders with distributed photovoltaic PV generation using quarter-hourly smart metering data of load and generation at each node of a feeder. This probabilistic framework is evaluated by simulating a real LV feeder in "elgium considering its actual loading parameters and components. In order to demonstrate the interest of the presented framework for the distribution system operators DSOs , the same feeder is then simulated considering future scenarios of higher PV integration as well as the application of mitigation solutions reactive power control, P/V droop control thanks to a local management of PV inverters, etc. to actual LV network operational issues arising from the integration of distributed PV generation. Section introduces the second planning tool designed to help the DSO, making the best investment for alleviating the MV-network stressed conditions. Practically, this tool aims at finding the optimal positioning and sizing of the devices designed to improve the operation of the distribution grid. Then a centralized control of these facilities is implemented in order to assess the effectiveness of the proposed approach. The simulation is carried out under various load and generation profiles, while the evaluation criteria of the methodology are the probabilities of voltage violation, the presence of congestions and the total line losses.

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Section: Evaluation Of the Strategies For Mitigating The Overvoltage mentioning

confidence: 97%

Section: Renewable Energy -Utilisation and System Integrationmentioning

confidence: 99%

Planning Tools for the Integration of Renewable Energy Sources Into Low- and Medium-Voltage Distribution Grids

Toubeau¹,

Klonari²,

Lobry³

et al. 2016

Renewable Energy - Utilisation and System Integration

Self Cite

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“…The voltage rise problem is becoming a major setback for PV connected LV distribution systems [1], resulting in deterioration of the power quality of the system [2]. Sometimes, this voltage rise triggers the internal protection system in PVs which automatically disconnects the PV units from the network [3]. This leads to mandatory monitoring of the system to restore it to the original power capacity levels.…”

Section: Introductionmentioning

confidence: 99%

Voltage Rise Mitigation in PV Rich LV Distribution Networks Using DC/DC Converter Level Active Power Curtailment Method

et al. 2022

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In low voltage (LV) distribution systems, the problem of overvoltage is common during the lower load intervals. This problem arises because of the high value of R/X ration of these systems. Many techniques are available in literature to cope up with this problem at the converter level; mostly these methods control the reactive or active power of the photovoltaic (PV) systems. However, there are certain restrictions and complications with the reactive power control of PV systems. Most of the active power control methods have been implemented at the inverter stage of the PV system, resulting in implementation complexities and excessive oversizing of the converter. Therefore, in this paper, a simple, de-rating based voltage control algorithm is proposed to overcome the problem of overvoltage. So far de-rating technique has been used to enable frequency support functions in PVs; in a first of its kind, de-rating technique is used here to control the voltages in PV rich LV distribution systems. The entire control is implemented on the dc/dc converter stage of the PV system and the inverter stage is kept untouched. The effectiveness of the control is verified by simulating a sample PV-rich three bus LV distribution system on the MATLAB software. The proposed control avoids the overvoltage by approx. 700 V for the best-case scenario.

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“…One of the foremost issues is the voltage rise, which becomes a major limiting factor for further PV deployment [2]. Lack of proper solutions to this problem results in on-off switching of PV units activated by the internal protection [3]. Subsequently, this leads to loss of energy yields of PV systems as well as causes damages to the electrical appliances.…”

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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Probabilistic framework for evaluating droop control of photovoltaic inverters

Cited by 9 publications

References 17 publications

Planning Tools for the Integration of Renewable Energy Sources Into Low- and Medium-Voltage Distribution Grids

Planning Tools for the Integration of Renewable Energy Sources Into Low- and Medium-Voltage Distribution Grids

Voltage Rise Mitigation in PV Rich LV Distribution Networks Using DC/DC Converter Level Active Power Curtailment Method

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

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