A Fast Quasi-Static Time Series Simulation Method for PV Smart Inverters with VAR Control using Linear Sensitivity Model

Qureshi, Muhammad Umer; Grijalva, Santiago; Reno, Matthew J.

doi:10.1109/pvsc.2018.8547439

Cited by 10 publications

(5 citation statements)

References 13 publications

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“…An interest has grown in analyzing how distributed inverter-based systems behave with fixed control parameters [1], [11], [12]. Reference [1] presents a fast quasi-static time-se-ries algorithm for computing the impacts of dynamic var control, providing an estimate for the states of all controllers with a candidate control curve. In [12], a robust estimate for solar PV energy curtailment is provided for a distributed generation system operating with a fixed volt-watt curve.…”

Section: ⅱ Backgroundmentioning

confidence: 99%

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Power Factor Estimation of Distributed Energy Resources Using Voltage Magnitude Measurements

Talkington

Grijalva

Reno

2021

Journal of Modern Power Systems and Clean Energy

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This paper presents a new method for the estimation of the injection state and power factor of distributed energy resources (DERs) using voltage magnitude measurements only. A physics-based linear model is used to develop estimation heuristics for net injections of real and reactive power at a set of buses under study, allowing a distribution engineer to form a robust estimate for the operating state and the power factor of the DER at those buses. The method demonstrates and exploits a mathematical distinction between the voltage sensitivity signatures of real and reactive power injections for a fixed power system model. Case studies on various test feeders for a model of the distribution circuit and statistical analyses are presented to demonstrate the validity of the estimation method. The results of this paper can be used to improve the limited information about inverter parameters and operating state during renewable planning, which helps mitigate the uncertainty inherent in their integration.

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Section: ⅱ Backgroundmentioning

confidence: 99%

“…Advanced inverter technologies have emerged as central elements of the solution to these issues, and research works on their impact on distribution networks have appeared swiftly in [1]- [4]. Additionally, the IEEE 1547-2018 standard updates now require all inverters to have reactive power and voltage regulation capabilities [5].…”

Section: Introductionmentioning

confidence: 99%

Power Factor Estimation of Distributed Energy Resources Using Voltage Magnitude Measurements

Talkington

Grijalva

Reno

2021

Journal of Modern Power Systems and Clean Energy

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“…Control parameters of the system such as the power factor, curtailment, and voltage control settings may be completely unavailable. These problems are an active area of research [4], [9]- [15].…”

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confidence: 99%

Solar PV Inverter Reactive Power Disaggregation and Control Setting Estimation

Talkington

Grijalva

Reno

et al. 2022

IEEE Trans. Power Syst.

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The wide variety of inverter control settings for solar photovoltaics (PV) causes the accurate knowledge of these settings to be difficult to obtain in practice. This paper addresses the problem of determining inverter reactive power control settings from net load advanced metering infrastructure (AMI) data. The estimation is first cast as fitting parameterized control curves. We argue for an intuitive and practical approach to preprocess the AMI data, which exposes the setting to be extracted. We then develop a more general approach with a data-driven reactive power disaggregation algorithm, reframing the problem as a maximum likelihood estimation for the native load reactive power. These methods form the first approach for reconstructing reactive power control settings of solar PV inverters from net load data. The constrained curve fitting algorithm is tested on 701 loads with behind-the-meter (BTM) PV systems with identical control settings. The settings are accurately reconstructed with mean absolute percentage errors between 0.425% and 2.870%. The disaggregation-based approach is then tested on 451 loads with variable BTM PV control settings. Different configurations of this algorithm reconstruct the PV inverter reactive power timeseries with root mean squared errors between 0.173 and 0.198 kVAR.

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“…Vale lembrar que antes dessas alterações recomendava-se que os sistemas FV operassem com fator de potência unitário, pois apenas cenários de baixa penetração eram considerados. À vista disso, as normas de distribuidoras começaram a requisitar as funções de inversores inteligentes (RAHIMI et al, 2017;QURESHI;GRI-JALVA;RENO, 2018), por exemplo, Rule 21 na Califórnia-EUA (COMMISSION, 2016), AS/NZS 4777.2 na Vitória-AUS (PROCOPIOU; PETROU; OCHOA, 2020) e CSA C22.3 No.9 no Canadá (NINAD et al, 2019). Na América Latina, entretanto, a adoção ainda é incipiente (GIL et al, 2020).…”

Section: Motivaçãounclassified

“…As funções de inversores inteligentes também são denominadas de inversores avançados (RAHIMI et al, 2017;QURESHI;GRIJALVA;RENO, 2018) e funções de suporte a rede (NINAD et al, 2019). Em síntese, são controles e limites que realizam serviços ancilares à rede, essas funções visam regulação de tensão, de frequência, de fator de potência, de potência ativa e ride-through (SEAL, 2016).…”

Section: Funções De Inversores Inteligentesunclassified

Modelagem de funções de inversores inteligentes executadas por sistemas fotovoltaicos em fluxo de potência

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Agradeço ao meu pai, Kennedy Sampaio, por sempre acreditar no meu potencial, à minha mãe, Patrícia Ferraz, pelos conselhos e amor incondicional, e aos meu irmãos Diego e Germano pelos ensinamentos e fraternidade. Estendo esse agradecimento a toda minha família.Ao Professor João Bosco Augusto London Jr, pela oportunidade, dedicação, cumplicidade, sábios direcionamentos, paciência e discernimento com os obstáculos ao longo de toda orientação deste trabalho.À Alice Bertho, minha namorada, pelo amor, apoio, companheirismo e inspiração, e por fazer de São Carlos um terno lar para mim junto à sua família.

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A Fast Quasi-Static Time Series Simulation Method for PV Smart Inverters with VAR Control using Linear Sensitivity Model

Cited by 10 publications

References 13 publications

Power Factor Estimation of Distributed Energy Resources Using Voltage Magnitude Measurements

Power Factor Estimation of Distributed Energy Resources Using Voltage Magnitude Measurements

Solar PV Inverter Reactive Power Disaggregation and Control Setting Estimation

Modelagem de funções de inversores inteligentes executadas por sistemas fotovoltaicos em fluxo de potência

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