A Two-Stage Distributed Architecture for Voltage Control in Power Distribution Systems

Robbins, Brett; Hadjicostis, Christoforos N.; Domínguez-García, Alejandro D.

doi:10.1109/tpwrs.2012.2211385

Cited by 274 publications

(164 citation statements)

References 17 publications

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“…In many cases, each of these devices is controlled by a local controller [26], [27], which is supervised by a central controller [28], [29]. Design of these controllers is key to stable, reliable, and optimal operation of the system [30].…”

Section: Application Developmentmentioning

confidence: 99%

The Use of System in the Loop, Hardware in the Loop, and Co-modeling of Cyber-Physical Systems in Developing and Evaluating New Smart Grid Solutions

Kezunovic¹,

Esmailian²,

Manimaran³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Section: Application Developmentmentioning

confidence: 99%

The Use of System in the Loop, Hardware in the Loop, and Co-modeling of Cyber-Physical Systems in Developing and Evaluating New Smart Grid Solutions

Kezunovic¹,

Esmailian²,

Manimaran³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…We treat the feeder head as an infinite bus, decoupling interactions in the downstream distribution system from the rest of the grid. This approximation is common in distribution system control design (see [14] for an example). Because of this, we assume that the voltage at node 0 is fixed and independent of control actions in the feeder.…”

Section: B Objective Function Constructionmentioning

confidence: 99%

Extremum Seeking control of smart inverters for VAR compensation

Arnold

Negrete-Pincetic

Stewart

et al. 2015

2015 IEEE Power &Amp; Energy Society General Meeting

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Abstract-Reactive power compensation is used by utilities to ensure customer voltages are within pre-defined tolerances and reduce system resistive losses. While much attention has been paid to model-based control algorithms for reactive power support and Volt Var Optimization (VVO), these strategies typically require relatively large communications capabilities and accurate models. In this work, a non-model-based control strategy for smart inverters is considered for VAR compensation. An Extremum Seeking control algorithm is applied to modulate the reactive power output of inverters based on real power information from the feeder substation, without an explicit feeder model. Simulation results using utility demand information confirm the ability of the control algorithm to inject VARs to minimize feeder head real power consumption. In addition, we show that the algorithm is capable of improving feeder voltage profiles and reducing reactive power supplied by the distribution substation.

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“…As suggested by (13), in the i-th iteration, the observations of node j are exactly the i-th column of Oj,N 2. The choice for N 2 steps is made because Theorem 1 states that at most N D j steps are needed for full observability, and thus a valid upper bound for the number of steps is N 2, because every node's in-degree is greater than 1 in a connected graph.…”

Section: A Finite Time Algorithm For Initial State Calculationmentioning

confidence: 99%

“…These approaches are sensitive to the topology of the distribution grid and its operating point. Consensus based voltage-control was first proposed in [13], where a two-level voltage control scheme is presented: all inverters participate in local control and request additional support when they reach their reactive power limits using a multi-agent consensus protocol. The outlined protocol converges asymptotically, and the convergence rate might increase considerably for large networks.…”

Section: Introductionmentioning

confidence: 99%

Finite time protocols for multi-agent control of Distributed Generation and Responsive Loads

Polymeneas¹,

Benosman

2014

2014 American Control Conference

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Distributed Resources in the Smart Grid, such as Distributed Generation (DG) and Responsive Loads (RL) are capable of providing a wide range of ancillary services, if properly coordinated. However, because of their large numbers and distributed nature, using a fully centralized communication structure to achieve coordination can be prohibitive, due to scale and cost. Decentralized approaches based on multi-agent systems theory have been proposed and are focused on linear consensus algorithms that asymptotically converge to a cooperative solution. In this paper, an alternative approach, which converges in a finite number of steps is formulated. The protocol is based on linear iterative updates and known observability results from graph structured linear systems. Here, the protocol is also modified to address a generalized cooperation problem in the context of DG/RL coordination. Furthermore, the protocol is modified to reduce the number of operations per step, ensuring that it is applicable to a large scale grid, which is usually the case in practice. The applicability of the approach is verified through simulations, for the case of grid voltage support through Distributed Generation. American Control Conference (ACC)This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Finite Time Protocols for Multi-Agent Control of Distributed Generation and Responsive Loads Evangelos Polymeneas and Mouhacine BenosmanAbstract-Distributed Resources in the Smart Grid, such as Distributed Generation (DG) and Responsive Loads (RL) are capable of providing a wide range of ancilliary services, if properly coordinated. However, because of their large numbers and distributed nature, using a fully centralized communication structure to achieve coordination can be prohibitive, due to scale and cost. Decentralized approaches based on multi-agent systems theory have been proposed and are focused on linear consensus algorithms that asymptotically converge to a cooperative solution. In this paper, an alternative approach, which converges in a finite number of steps is formulated. The protocol is based on linear iterative updates and known observability results from graph structured linear systems. Here, the protocol is also modified to address a generalized cooperation problem in the context of DG/RL coordination. Furthermore, the protocol is modified to reduce the number of operations per step, ensuring that it is ...

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A Two-Stage Distributed Architecture for Voltage Control in Power Distribution Systems

Cited by 274 publications

References 17 publications

The Use of System in the Loop, Hardware in the Loop, and Co-modeling of Cyber-Physical Systems in Developing and Evaluating New Smart Grid Solutions

The Use of System in the Loop, Hardware in the Loop, and Co-modeling of Cyber-Physical Systems in Developing and Evaluating New Smart Grid Solutions

Extremum Seeking control of smart inverters for VAR compensation

Finite time protocols for multi-agent control of Distributed Generation and Responsive Loads

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