Distributed Model-Predictive Real-Time Optimal Operation of a Network of Smart Microgrids

Utkarsh, Kumar; Srinivasan, Dipti; Trivedi, Anupam; Zhang, Wenjie; Reindl, Thomas

doi:10.1109/tsg.2018.2810897

Cited by 68 publications

(42 citation statements)

References 32 publications

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“…Note that in (18), although B pi C i pp i ptq, q i ptqq is local information and the scalar C 1 0 pP 0 ppptqqq can be easily broadcast, the last term ř jPN R ij pµ j ptq´µ j ptqq couples the whole network in principle.…”

Section: B Hierarchical Distributed Algorithmmentioning

confidence: 99%

“…References [15]- [17] consider centralized optimal control to balance energy among AGs by simplifying each AG as a node, but they do not model power flow within individual AGs. References [18]- [23] design distributed algorithms to balance power transmission among AGs while respecting operational constraints within AGs without considering power flow dynamics among AGs. Studies have also designed incentive-based distributed algorithms to optimize energy transactions among AGs without modeling the power flow among AGs [20]- [23].…”

Section: Introductionmentioning

confidence: 99%

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Hierarchical Distributed Voltage Regulation in Networked Autonomous Grids

Zhou

Liu

Wang

et al. 2019

2019 American Control Conference (ACC)

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We propose a novel algorithm to solve optimal power flow (OPF) that aims at dispatching controllable distributed energy resources (DERs) for voltage regulation at minimum cost. The proposed algorithm features unprecedented scalability to large distribution networks by utilizing an information structure based on networked autonomous grids (AGs). Specifically, each AG is a subtree of a large distribution network that has a tree topology. The topology and line parameters of each AG are known only to a regional coordinator (RC) that is responsible for communicating with and dispatching the DERs within this AG. The reduced network, where each AG is treated as a node, is managed by a central coordinator (CC), which knows the topology and line parameters of the reduced network only and communicates with all the RCs. We jointly explore this information structure and the structure of the linearized distribution power flow (LinDistFlow) model to derive a hierarchical, distributed implementation of the primaldual gradient algorithm that solves the OPF. The proposed implementation significantly reduces the computation burden compared to the centrally coordinated implementation of the primal-dual algorithm. Numerical results on a 4,521-node test feeder show that the proposed hierarchical distributed algorithm can achieve an improvement of more than tenfold in the speed of convergence compared to the centrally coordinated primal-dual algorithm.

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Section: B Hierarchical Distributed Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hierarchical Distributed Voltage Regulation in Networked Autonomous Grids

Zhou

Liu

Wang

et al. 2019

2019 American Control Conference (ACC)

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show abstract

“…Limitation of disturbances: the storage can help customers to comply with commitments related to limited disturbances thus improving grids' resilience Compensation of the reactive power: an electrical storage system, via the power electronics converter, is able to locally compensate for the reactive power …”

Section: Energy Storage Systems In Smart Gridsmentioning

confidence: 99%

“…6,33,34 • Compensation of the reactive power: an electrical storage system, via the power electronics converter, is able to locally compensate for the reactive power. 35,36 Batteries are the first EES to be considered in smart grids. Battery systems can offer a number of high-value opportunities, provided that lower costs can be obtained.…”

mentioning

confidence: 99%

On the integration of the energy storage in smart grids: Technologies and applications

et al. 2019

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Smart grids are one of the major challenges of the energy sector for both the energy demand and energy supply in smart communities and cities. Grid connected energy storage systems are regarded as promising solutions for providing ancillary services to electricity networks and to play an important role in the development of smart grids. The aim of the present article is to analyze the role of storage systems in the development of smart grids. The article includes an analysis and a list of energy storage systems that are applied in smart grids. Various energy storage systems are examined raging from electrical, electrochemical, thermal, and mechanical systems. Two case studies are presented that show the role of energy storage in effective management of energy demand and supply.

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“…It is worth noting that the model and algorithm design in this work can be readily applied to optimization and control of networked microgrids with each subtree seen as a microgrid. Meanwhile, most existing works on optimization and control of networked microgrids either over-simplify each individual microgrid as a node without considering power flow within it [24]- [26], or ignore power flow models among microgrids [27]- [29]. Recent work [30] applies a game-theoretic approach to manage a partitioned distribution network based on a noncooperative Nash game, where uniqueness of equilibrium, convergence, and global performance are difficult to characterize.…”

Section: Introductionmentioning

confidence: 99%

Accelerated Voltage Regulation in Multi-Phase Distribution Networks Based on Hierarchical Distributed Algorithm

Zhou

Liu

Zhao

et al. 2020

IEEE Trans. Power Syst.

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We propose a hierarchical distributed algorithm to solve optimal power flow (OPF) problems that aim at dispatching controllable distributed energy resources (DERs) for voltage regulation at minimum cost. The proposed algorithm features unprecedented scalability to large multi-phase distribution networks by jointly exploring the tree/subtrees structure of a large radial distribution network and the structure of the linearized distribution power flow (LinDistFlow) model to derive a hierarchical, distributed implementation of the primal-dual gradient algorithm that solves OPF. The proposed implementation significantly reduces the computation loads compared to the centrally coordinated implementation of the same primal-dual algorithm without compromising optimality. Numerical results on a 4,521node test feeder show that the designed algorithm achieves more than 10-fold acceleration in the speed of convergence compared to the centrally coordinated primal-dual algorithm through reducing and distributing computational loads.

show abstract

Distributed Model-Predictive Real-Time Optimal Operation of a Network of Smart Microgrids

Cited by 68 publications

References 32 publications

Hierarchical Distributed Voltage Regulation in Networked Autonomous Grids

Hierarchical Distributed Voltage Regulation in Networked Autonomous Grids

On the integration of the energy storage in smart grids: Technologies and applications

Accelerated Voltage Regulation in Multi-Phase Distribution Networks Based on Hierarchical Distributed Algorithm

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