A Fully Distributed Reactive Power Optimization and Control Method for Active Distribution Networks

Zheng, Weiye; Wu, Wenchuan; Zhang, Boming; Sun, Hongbin; Liu, Yibing

doi:10.1109/tsg.2015.2396493

Cited by 270 publications

(165 citation statements)

References 27 publications

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“…A. Singhal which are solved either in a centralized manner [4], [10]- [12] or using distributed algorithms [5], [13]- [16]. There are several other distributed control methods proposed for PV inverter VVC which can be referred from the latest comprehensive survey papers [17] and [18].…”

Section: Most Of the Literature Deals With The Opf Based Methodsmentioning

confidence: 99%

Real-Time Local Volt/Var Control Under External Disturbances With High PV Penetration

Singhal

Ajjarapu

Fuller

et al. 2019

IEEE Trans. Smart Grid

120

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Volt/var control (VVC) of smart PV inverter is becoming one of the most popular solutions to address the voltage challenges associated with high PV penetration. This work focuses on the local droop VVC recommended by the grid integration standards IEEE1547, rule21 and addresses their major challenges i.e. appropriate parameters selection under changing conditions, and the control being vulnerable to instability (or voltage oscillations) and significant steady state error (SSE). This is achieved by proposing a two-layer local real-time adaptive VVC that has two major features i.e. a) it is able to ensure both low SSE and control stability simultaneously without compromising either; and b) it dynamically adapts its parameters to ensure good performance in a wide range of external disturbances such as sudden cloud cover, cloud intermittency, and substation voltage changes. A theoretical analysis and convergence proof of the proposed control is also discussed. The proposed control is implementation friendly as it fits well within the integration standard framework and depends only on the local bus information. The performance is compared with the existing droop VVC methods in several scenarios on a large unbalanced 3-phase feeder with detailed secondary side modeling.

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Section: Most Of the Literature Deals With The Opf Based Methodsmentioning

confidence: 99%

Real-Time Local Volt/Var Control Under External Disturbances With High PV Penetration

Singhal

Ajjarapu

Fuller

et al. 2019

IEEE Trans. Smart Grid

120

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“…Static VAR optimization usually refers to the VAR optimization under the system operating state of a certain time, considering the voltage and other constraints to minimize the power loss [15,16,17,18,19]. The violation of voltage limits is often added to the objective function as a penalty function [15,16].…”

Section: Static Var Optimizationmentioning

confidence: 99%

“…First, about the problem of non-convex and nonlinear programming difficult to solve, the second-order conic relaxation is used to achieve exact convexification with feasible solutions [17,18].…”

Section: Static Var Optimizationmentioning

confidence: 99%

A Review of Reactive Power Optimization in Distribution Network

Liu¹,

Liu²

2017

dtetr

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Abstract. The reactive power (VAR) optimization in distribution network is one of important measures for loss reduction, voltage profile improvement and power factor correction. This paper classifies the VAR optimization into VAR configuration optimization and VAR operation optimization based on different implementation phases. Meantime, the VAR optimal operation is sorted by static VAR optimization and dynamic VAR optimization. Afterward the article summarizes the research situation of VAR optimization. Eventually the paper presents the future work of VAR optimization according to the research status.

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“…Compared to the meta-heuristic algorithms and the traditional interior point method, this relaxation can help to obtain the global optimal solution. Also based on the conic relaxation, Zheng et al [10] propose an entirely distributed second-order cone programming solver based on the alternating direction method of multipliers algorithm. Lin et al [11] presented a decentralised reactive power optimisation method based on the generalised Benders decomposition and the second-order cone programming.…”

Section: Introductionmentioning

confidence: 99%

Improved extreme‐scenario extraction method for the economic dispatch of active distribution networks

Zhang

Wen

2017

J. eng.

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Optimisation techniques with good characterisation of the uncertainties in modern power system enable the system operators well trade-off between security and sustainability. This study proposes the extreme-scenario extraction-based robust optimisation method for the economic dispatch of active distribution network with renewables. The extreme scenarios are selected from the historical data using the improved minimum volume enclosing ellipsoid (MVEE) algorithm to guarantee the security of system operation while avoid frequently switching the transformer tap. It is theoretically proved that if the decision can be adaptive to the selected extreme scenarios, it can be robust to all the possible scenarios. Simulation results demonstrate that the proposed improved MVEE algorithm significantly reduces the number of scenarios, so that the computational burden is dramatically cut down. Additionally, compared to the existing robust optimisation approach, the proposed method is less conservative for the smaller size of the uncertainty set.

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A Fully Distributed Reactive Power Optimization and Control Method for Active Distribution Networks

Cited by 270 publications

References 27 publications

Real-Time Local Volt/Var Control Under External Disturbances With High PV Penetration

Real-Time Local Volt/Var Control Under External Disturbances With High PV Penetration

A Review of Reactive Power Optimization in Distribution Network

Improved extreme‐scenario extraction method for the economic dispatch of active distribution networks

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