Distributed Optimization Algorithm for Residential Flexibility Activation—Results From a Field Test

Soares, Ana; Somer, Oscar De; Ectors, Dominic; Aben, Filip; Goyvaerts, Jan; Broekmans, Milo; Spiessens, Fred; Goch, T.A.J. van; Vanthournout, Koen

doi:10.1109/tpwrs.2018.2809440

Cited by 19 publications

(19 citation statements)

References 19 publications

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“…The REnnovates [44] project has demonstrated the use of flexibility for congestion management using price incentives. Flexibility services are provided by an aggregator that controls DERs from six residential households [45]. In [46], the authors present the results from the Reflexe project, which demonstrated flexibility services with DERs, using eight industrial and commercial sites, as well as a battery storage system.…”

Section: Literature Review Of Local Flexibility Marketsmentioning

confidence: 99%

EcoGrid 2.0: A large-scale field trial of a local flexibility market

et al. 2020

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The number of distributed energy resources installed in distribution networks is steadily increasing. Their flexibility can be leveraged by aggregators and used in the wholesale markets. However, the utilization of this flexibility cannot neglect the operating conditions of distribution networks, and thus some form of coordination between distribution and transmission system operators must exist. The idea of operating local flexibility markets has been proposed to address these issues, but experience from real-life demonstrations is still missing. The Danish project EcoGrid 2.0 has designed, implemented and tested a local flexibility market with 800 participating customers, which runs in parallel with the wholesale markets. First, this paper presents a method to identify and quantify the value of possible flexibility services that are beneficial to the distribution system operator. Next, it provides insight from the operation of a real local flexibility market, with a large number of controllable loads. Results show that aggregators are able to reliably shape the load of residential heating units to deliver flexibility services, despite the presence of large uncertainties. Services can act as an insurance policy against rare but consequential network overloadings and outages. In these rare cases flexibility services can increase social welfare significantly. However, such services should be carefully selected to avoid adverse effects. Finally, we provide with guidelines and some general remarks on the nature and the desirable characteristics of those markets and services.

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Section: Literature Review Of Local Flexibility Marketsmentioning

confidence: 99%

EcoGrid 2.0: A large-scale field trial of a local flexibility market

et al. 2020

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“…Perhaps one of the key research areas in distributed power system control is in solving the optimal power flow (OPF) problem in a distributed manner [481][482][483][484][485][486][487][488][489][490][491][492][493][494]. Not only is this problem difficult to solve (by virtue of it being non-convex), it also consumes significant computational resources.…”

Section: Distributed Control and Decision Makingmentioning

confidence: 99%

“…Being able to solve the problem in a distributed manner allows for faster solutions to the OPF problem, and larger problem sizes. A common technique is usually based on augmented Lagrangian decomposition [493,495,496] such as dual decomposition [482,497], the alternating direction method of multipliers (ADMM) [483,484,492,494,496,498,499], alternating direct inexact Newton (ALADIN) [485], analytical target cascading (ATC), and the auxiliary problem principle (APP) [486,500]. The other common approach is based on decentralized solution of the Karush-Kuhn-Tucker (KKT) necessary conditions for optimality and gradient dynamics [487].…”

Section: Distributed Control and Decision Makingmentioning

confidence: 99%

eIoT

Muhanji¹,

Flint²,

Farid³

2019

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adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

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“…Stackelberg game is employed in [7] to model the cooperation of the system operator and responsive demands in congestion alleviation of the transmission system. Virtual prices are expanded based on the dual decomposition algorithm in [8] to exploit the potential flexibility of residential households in order to resolve congestion problems of the grid. It is noteworthy that the distributed coordination of independently operated MGs is not studied in [4]- [8], as all of the presented frameworks require a central operator in order to manage congestions of the grid.…”

Section: Introductionmentioning

confidence: 99%

“…Virtual prices are expanded based on the dual decomposition algorithm in [8] to exploit the potential flexibility of residential households in order to resolve congestion problems of the grid. It is noteworthy that the distributed coordination of independently operated MGs is not studied in [4]- [8], as all of the presented frameworks require a central operator in order to manage congestions of the grid. The suggested methodology in [9] has considered that all the aggregators would announce their power request to the distribution market operator, which is a central entity for clearing the 'pay-as-bid' market.…”

Section: Introductionmentioning

confidence: 99%

Distributed Transactive Framework for Congestion Management of Multiple-Microgrid Distribution Systems

Fattaheian‐Dehkordi

Rajaei

Abbaspour

et al. 2022

IEEE Trans. Smart Grid

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The privatization of distribution systems has resulted in the development of multiple-microgrid (multiple-MG) systems where each microgrid independently operates its local resources. Moreover, the high integration of independent distributed energy sources could lead to operational issues such as grid congestion in future distribution systems. Therefore, this paper provides a transactive-based energy management framework to operate multiple-MG distribution systems; while, alleviating grid congestion in a decentralized manner. In this respect, alternating direction method of multipliers (ADMM) is considered to develop an operational framework that copes with distributed nature of multiple-MG systems. In this context, a novel procedure in the context of ADMM is proposed to distributedly determine transactive coordinator signals which address energy prices as well as power losses and grid congestions. Furthermore, each MG takes into account stochastic programming and the conditional value-at-risk index to handle the uncertainty of its operational scheduling. At last, the proposed framework is applied on IEEE 37-bus and 123-bus test grids to investigate its efficacy in distributed energy management of multiple-MG systems.

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Distributed Optimization Algorithm for Residential Flexibility Activation—Results From a Field Test

Cited by 19 publications

References 19 publications

EcoGrid 2.0: A large-scale field trial of a local flexibility market

EcoGrid 2.0: A large-scale field trial of a local flexibility market

eIoT

Distributed Transactive Framework for Congestion Management of Multiple-Microgrid Distribution Systems

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