Voltage regulation performance of smart inverters: Power factor versus volt-VAR control

Rahimi, Kaveh; Tbaileh, Ahmad; Broadwater, Robert; Woyak, Jeremy; Dilek, Murat

doi:10.1109/naps.2017.8107407

Cited by 29 publications

(12 citation statements)

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“…Essa estratégia é chamada de Volt-Var e é amplamente discutida na literatura (Braslavsky, 2015;Molina-Gracía, 2017;Zhang, 2017). De maneira geral, o controle Volt-Var é bastante útil para controle de tensão, por outro lado a injeção de potência reativa na rede aumenta as perdas técnicas do sistema (Rahimi, 2017). Na Figura 1 é apresentada uma curva típica dessa estratégia.…”

Section: Introductionunclassified

Análise do Impacto de Inversores Inteligentes Aplicados a Redes de Distribuição em Baixa Tensão

Carlette

Falcāo

2020

Anais Do Simpósio Brasileiro De Sistemas Elétricos 2020

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A micro geração fotovoltaica residencial é a mais difundida no país e está conectada diretamente à rede de baixa tensão. Uma análise dos impactos da geração distribuída nesse segmento do sistema elétrico é de alta relevância, já que essas redes não dispõem de recursos para controle de tensão e estão suscetíveis a defeitos causados pela elevada penetração de recursos distribuídos. Este trabalho se propôs a testar três estratégias de controle, aplicadas a inversores inteligentes, para mitigar os impactos no perfil de tensão causados por essa elevada penetração nas redes de baixa tensão. São elas: fator de potência constante, controle Volt-Watt e Volt-Var. De modo geral, as três estratégias foram capazes de melhorar o perfil de tensão. No entanto, o fator de potência constante aumentou significativamente as perdas, o Volt-Watt cortou geração, diminuindo o retorno sobre o investimento no sistema, e o Volt-Var foi o menos efetivo na diminuição da tensão, aumentou também as perdas, mas sem sacrificar a injeção de potência ativa. A escolha da melhor estratégia está associada também à definição de prioridades: menos perdas, maior retorno econômico ou tensão mais próxima da nominal.

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Section: Introductionunclassified

Análise do Impacto de Inversores Inteligentes Aplicados a Redes de Distribuição em Baixa Tensão

Carlette

Falcāo

2020

Anais Do Simpósio Brasileiro De Sistemas Elétricos 2020

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“…The representative method for smart inverter-based local voltage control is to use the piecewise droop control functions of DERs [3]. Droop control functions can be implemented in three modes: (1) the capacitive mode for injecting reactive power; (2) the inductive mode for absorbing reactive power; and (3) the dead-band mode, in which reactive power is neither injected nor absorbed.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Look-Ahead Conservation Voltage Reduction Framework Considering Distributed Energy Resources and Demand Reduction

Mak

Choi

2018

Energies

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This paper proposes a hierarchical look-ahead framework to conduct conservation voltage reduction (CVR) when distributed energy resources such as solar photovoltaic (PV) systems and energy storage systems (ESSs), and demand response programs are integrated into distribution systems. With the increasing deployment of PV systems in distribution systems, their frequently varying power output due to cloud movements could have a detrimental impact on the consumer's voltage quality, consequently leading to degraded CVR performance. A two-level CVR framework for the coordination of an on-load tap changer (OLTC), capacitor banks (CBs), and the smart inverters of PV systems/ESSs is presented, in which these elements operate to reduce the voltage profile along the distribution feeder at different temporal scales. At the global level, the operations of the OLTC and the CBs are scheduled every hour to achieve the best CVR performance in an optimization problem using mixed-integer linear programming. When voltage violations occur rapidly, the smart inverters of PV systems and ESSs help to maintain a lower voltage profile every second based on the proposed piecewise droop control functions at the local level. A simulation study is carried out in an IEEE 33-bus distribution system with an OLTC, CBs, PV systems, and ESSs, and our results demonstrate the advantages of the proposed approach in terms of voltage level and energy savings. Furthermore, the impact of demand reduction on the proposed approach is quantified, and we verify that a higher demand reduction yields more energy savings in the proposed framework.

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“…In addition, transformers that had substantial effects on the voltage were not considered. In [24], the voltage regulation performance was compared at a fixed power factor for various VVCs; however, comparisons were made using default curves, and the service transformer was not considered. The performances of smart inverter controllers were analyzed in [25] to mitigate overvoltages; however, each of the factors were evaluated individually, and the system performance was not considered.…”

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confidence: 99%

“…3 Performance is only evaluated in default setting ( [16], [17], [20], [21], [24], [26], [27], [32], [33], [36]- [40] [18], [20]- [22], [25], [26], [29]- [31], [40], [42])…”

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Optimal Volt–Var Curve Setting of a Smart Inverter for Improving Its Performance in a Distribution System

2020

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We propose an algorithm to set the parameters of volt-var curves to improve the performance of distributed generation. Specifically, we optimally set the volt-var curves of the smart inverter for proper control of the distributed generation output. To improve the overall distribution system performance, we consider the minimization of voltage deviation, system loss, and peak of reactive power in an objective function, thereby providing optimal volt-var curve parameters. The proposed algorithm overcomes various limitations of existing studies. First, we use distribution system factors in a multiobjective optimization function to adjust volt-var curve parameters that deviate from the default settings. Second, we consider the service transformers that affect the system voltage according to the photovoltaic generation output in the test model during optimization. Third, we analyze the system improvement according to the number of parameters to be optimized. Fourth, we analyze the implementation of the optimized volt-var curve according to the practical periods when the smart inverter settings can be updated. Fifth, we evaluate different suitable voltvar curves for multiple photovoltaic generators grouped using clustering. Using the proposed algorithm, the distribution system operator can set the optimal volt-var curve according to the system conditions and requirements. We conducted simulations of the proposed method using OpenDSS, a quasistatic time-series simulation, on a test model reflecting the characteristics of a South Korean distribution system. The simulation results confirm that the overall system performance increases when the optimal volt-var curve settings obtained from the proposed algorithm are used. INDEX TERMS Distribution system, parameter optimization, smart inverter, volt-var curve. NOMENCLATURE i Bus index t Time (h) (year: 8760 h; spring: 2208 h; summer: 2208 h, fall: 2184 h; winter: 2160 h) vvnew Parameter (gene) for newly updated volt-var curve (Vvv2, Vvv3, Qvv1, Qvv4) vvcon Conventional volt-var curve parameter in Fig. 5 Pt(vv) System loss at time t according to volt-var curve parameter Vref Reference voltage, 22.9 kV, 1.00 pu ω Weight for system factor (voltage deviation, system loss, peak of reactive power) Vi,t Voltage of bus i at time t according volt-var curve parameter δVi,t(vv) − , () , voltage deviation index of bus i at time t Qi(vv) Reactive power output at smart inverter of bus i according to volt-var curve parameter Nconst Constraint condition ωc Penalty coefficient PFc Constraint weight E Disjoint subset of input pattern l Clusters index k Number of clusters Si Set of points belonging to cluster i µi Center of cluster i O• Objective function I. INTRODUCTION

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Voltage regulation performance of smart inverters: Power factor versus volt-VAR control

Cited by 29 publications

References 12 publications

Análise do Impacto de Inversores Inteligentes Aplicados a Redes de Distribuição em Baixa Tensão

Análise do Impacto de Inversores Inteligentes Aplicados a Redes de Distribuição em Baixa Tensão

Hierarchical Look-Ahead Conservation Voltage Reduction Framework Considering Distributed Energy Resources and Demand Reduction

Optimal Volt–Var Curve Setting of a Smart Inverter for Improving Its Performance in a Distribution System

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