Determination method of Volt‐Var and Volt‐Watt curve for smart inverters applying optimization of active/reactive power allocation for each inverter

Yamane, Keisuke; Orihara, Dai; Iioka, Daisuke; Aoto, Yuki; Hashimoto, Jun; Goda, Tadahiro

doi:10.1002/eej.23243

Cited by 6 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…360 candidate patterns are defined by the central voltage V ref , dead zone, and slope, and cover almost all the volt-var curves that may be applied in practice. As another solution, the volt-var curve can be determined by solving the volt-var curve optimization problem [24][25][26][27], which is one of state-of-the-art counterparts to determine the volt-var curve. However, the solution obtained should be equal to or very close to one of the 360 patterns.…”

Section: Discussionmentioning

confidence: 99%

“…An optimization method based on a genetic algorithm has been proposed to optimize the setting of the volt-var function, and it was shown that the control characteristics of the distribution system can be improved [24][25][26]. A method to determine the volt-var curve based on the relationship between the optimum reactive power and the inverter voltage using the interior point method has been proposed [27]. A method of setting the volt-var curve using the voltage sensitivity matrix of the power system without using an optimization method has been proposed, and was proven to be as effective as the volt-var curve obtained using the optimization method [28].…”

Section: Motivation and Contributionmentioning

confidence: 99%

See 1 more Smart Citation

Appropriate Volt–Var Curve Settings for PV Inverters Based on Distribution Network Characteristics Using Match Rate of Operating Point

et al. 2022

Self Cite

View full text Add to dashboard Cite

This paper describes the process of setting up an appropriate volt–var curve for the reactive power control of a photovoltaic (PV) inverter interconnected to a distribution line that is voltage controlled by a load ratio control transformer (LRT). Computer simulations with 360 patterns of volt–var curves applied to five actual distribution line models are presented. The number of patterns was narrowed down to 23 by using voltage, distribution-line loss, number of LRT tap operations, and a new evaluation index, the match ratio. When a power-factor constraint is imposed on the PV inverter, it may not output the reactive power according to the volt–var curve depending on the active power output. The match rate is an index to show the percentage of the operating points of the PV inverter that conform with the volt–var curve. By evaluating the match rate, it can be demonstrated if the PV inverter efficiently contributes to the voltage control, which greatly contributes to narrowing of the volt–var curve. It is demonstrated that the volt–var curve obtained using the proposed method is superior in terms of voltage controllability, distribution line losses, and the number of LRT tap controls.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Motivation and Contributionmentioning

confidence: 99%

Appropriate Volt–Var Curve Settings for PV Inverters Based on Distribution Network Characteristics Using Match Rate of Operating Point

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [8] , a method to compensate voltage imbalance is performed by injecting active and reactive power control through the power conditioning system of inverters. Moreover, in [9] , [10] , [11] , [12] , [13] , the coordinated control schemes are proposed for conserving voltage reduction in a smart inverter. The techniques coordinated the operations of automated volt-VAR controllers and aggregated the reactive power control.…”

Section: Introductionmentioning

confidence: 99%

Resource management with kernel-based approaches for grid-connected solar photovoltaic systems

Kurukuru¹,

Haque

Khan

et al. 2021

Heliyon

View full text Add to dashboard Cite

The increasing penetration of photovoltaic (PV) power generation into the distribution grids has resulted in frequent reverse active power flows, rapid fluctuations in voltage magnitudes, and power loss. To overcome these challenges, this paper identifies the resource management of grid-connected PV systems with active and reactive power injection capabilities using smart inverters. This approach is aimed to minimize the voltage deviations and power losses in the grid-connected systems to accommodate the high penetration of PV systems. A kernel-based approach is proposed to learn policies and evaluate the reactive power injections with smart inverters for improving grid profile, minimizing power losses, and maintaining safe operating voltage limits. The proposed approach performs inverter coordination through nonlinear control policies using anticipated scenarios for load and generation. To assess the performance of the proposed approach, numerical simulations are performed with a single-phase grid-connected PV system connected to an IEEE bus system. The results show the effectiveness of the proposed approach in minimizing power losses and achieving a good voltage regulation.

show abstract

“…The recent years have witnessed a significant amount of research and development pertaining to voltage control schemes in distribution systems to overcome the voltage violation problems, such as advancing the tap control scheme of existing voltage regulators [2][3][4][5], voltage control utilizing reactive power control such as static var. compensators (SVCs) [6,7], and voltage control utilizing consumer equipment such as PV inverters and chargers/dischargers for electric vehicles [8][9][10][11][12][13][14]. Reactive power control schemes using SVCs demonstrate the limitation that the voltage control performance is heavily dependent on the SVC a Correspondence to: Shinya Yoshizawa.…”

Section: Introductionmentioning

confidence: 99%

Predictive Voltage Control Scheme Based on Estimation of Short‐Time‐Ahead Voltage Fluctuation in Distribution System withPVs

Yoshizawa

Hayashi

2021

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

This paper proposes a predictive voltage control scheme baseda on short-time-ahead voltage fluctuation estimation in a distribution system for achieving high penetration of photovoltaic generation. In the proposed control scheme, the short-time-ahead voltage fluctuation is estimated from the previously measured voltage of the sensor, and the voltage regulator operates to minimize the expected voltage violation risk in the entire distribution system. Because there is no requirement for real-time sensor-measured voltage values, as required in centralized voltage control schemes, the proposed scheme is an autonomous control scheme that uses only the present secondary voltage of the voltage regulator. The proposed control scheme was tested on a large-scale distribution system model to which thousands of customers are connected, and the voltage control performance was evaluated using the monthly measurement data that was in terms of voltage violation amount and number of tap operations.

show abstract

Determination method of Volt‐Var and Volt‐Watt curve for smart inverters applying optimization of active/reactive power allocation for each inverter

Cited by 6 publications

References 15 publications

Appropriate Volt–Var Curve Settings for PV Inverters Based on Distribution Network Characteristics Using Match Rate of Operating Point

Appropriate Volt–Var Curve Settings for PV Inverters Based on Distribution Network Characteristics Using Match Rate of Operating Point

Resource management with kernel-based approaches for grid-connected solar photovoltaic systems

Predictive Voltage Control Scheme Based on Estimation of Short‐Time‐Ahead Voltage Fluctuation in Distribution System withPVs

Contact Info

Product

Resources

About