A distributed demand-side management framework for the smart grid

Barbato, Antimo; Capone, Antonio; Chen, Lin; Martignon, Fabio; Paris, Stefano

doi:10.1016/j.comcom.2014.11.001

Cited by 61 publications

(22 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DISTRIBUTED DSM: PROBLEM FORMULATION AND GAME MODEL In this paper, we consider a fully distributed demand-side management framework based on a non-cooperative game theoretical approach [21]. This framework is designed to efficiently schedule the electric appliances of a group of residential consumers, H, over a 24-hour time period divided into a set, T , of time slots.…”

Section: Related Workmentioning

confidence: 99%

A multi-armed bandit formulation for distributed appliances scheduling in smart grids

Barbato

Chen

Martignon

et al. 2014

2014 IEEE Online Conference on Green Communications (OnlineGreenComm)

Self Cite

View full text Add to dashboard Cite

Game-theoretic Demand-Side Management (DSM) systems represent a promising solution to control the electrical appliances of residential consumers. Such frameworks allow indeed for the optimal management of loads without any centralized coordination since decisions are taken locally and directly by users. In this paper, we focus our analysis on a game-theoretic DSM framework designed to reduce the bill of a group of users. In order to converge to the equilibrium of the game, we adopt an efficient learning algorithm proposed in the literature, Exp3, along with two variants that we propose to speed up convergence. In defining these methods, we model the appliances scheduling problem as a Multi-Armed Bandit (MAB) problem, a classical formulation of decision theory. We analyze the proposed learning methods based on realistic instances in several use-case scenarios and show numerically their effectiveness in improving the performance of next generation smart grid systems.

show abstract

Section: Related Workmentioning

confidence: 99%

A multi-armed bandit formulation for distributed appliances scheduling in smart grids

Barbato

Chen

Martignon

et al. 2014

2014 IEEE Online Conference on Green Communications (OnlineGreenComm)

Self Cite

View full text Add to dashboard Cite

show abstract

“…the standard deviation is so low that the addition of noise to the scheduled consumption profiles leads to negligible alterations and intuitively provides no privacy preservation), in order to show the net effect of the privacyfriendly protocol on the performance of the DSM. Notice that the comparison between the performance of the proposed load scheduling game and the benchmark case without demandside management has already been presented and discussed in [34], where it is shown that the electricity bill and the peak demand decrease by as much as 55% with respect to the case without DSM and that this gain is influenced by the appliances flexibility and householders preferences.…”

Section: B Performance Evaluation: Test Case Amentioning

confidence: 99%

Enabling Privacy in a Distributed Game-Theoretical Scheduling System for Domestic Appliances

Rottondi¹,

Barbato²,

Chen³

et al. 2017

IEEE Trans. Smart Grid

Self Cite

View full text Add to dashboard Cite

Abstract-Demand Side Management (DSM) makes it possible to adjust the load experienced by the power grid while reducing the consumers' bill. Game-theoretic DSM is an appealing decentralized approach for collaboratively scheduling the usage of domestic electrical appliances within a set of households while meeting the users' preferences about the usage time. The drawback of distributed DSM protocols is that they require each user to communicate his/her own energy consumption patterns, which may leak sensitive information regarding private habits. This paper proposes a distributed Privacy-Friendly DSM system that preserves users' privacy by integrating data aggregation and perturbation techniques: users decide their schedule according to aggregated consumption measurements perturbed by means of Additive White Gaussian Noise (AWGN). We evaluate the noise power and the number of users required to achieve a given privacy level, quantified by means of the increase of the information entropy of the aggregated energy consumption pattern. The performance of our proposed DSM system is compared to the one of a benchmark system that does not support privacy preservation in terms of total bill, peak demand and convergence time. Results show that privacy can be improved at the cost of increasing the peak demand and the number of game iterations, whereas the total bill is only marginally incremented.

show abstract

“…Different from T2.1 D-V, the responsibilities of control elements in this category are symmetrical, and the functions being executed in the control elements are similar. Examples are [45]- [48]. The categories introduced so far are illustrated in Fig.…”

Section: Architecturesmentioning

confidence: 99%

“…In T2.2.A D-H-(C)entralized shared memory, a single entity is available to relay information among control elements as an essential part of the control algorithm (e.g. [45], [46]). In contrast T2.2.B D-H-(P)2P represents only fully distributed P2P control architecture, as for example in [47], [48].…”

Section: Architecturesmentioning

confidence: 99%

Taxonomy for Evaluation of Distributed Control Strategies for Distributed Energy Resources

Han

Heussen

Gehrke

et al. 2018

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

Abstract-Distributed control strategies applied to power distribution control problems are meant to offer robust and scalable integration of distributed energy resources (DER). However, the term "distributed control" is often loosely applied to a variety of very different control strategies. In particular there is a lack of discrimination between aspects related to communication topology, physical distribution of components and associated control objectives. This has lead to a lack of objective criteria for performance comparison and general quality assessment of state of the art distributed control solutions. For such comparison, a classification is required that is consistent across the different aspects mentioned above. This paper develops systematic categories of control strategies that accounts for communication, control and physical distribution aspects of the problem, and provides a set of criteria that can be assessed for these categories. The proposed taxonomy is applied to the state of the art as part of a review of existing work on distributed control of DER. Finally, we demonstrate the applicability and usefulness of the proposed classification to researchers and system designers.

show abstract

A distributed demand-side management framework for the smart grid

Cited by 61 publications

References 24 publications

A multi-armed bandit formulation for distributed appliances scheduling in smart grids

A multi-armed bandit formulation for distributed appliances scheduling in smart grids

Enabling Privacy in a Distributed Game-Theoretical Scheduling System for Domestic Appliances

Taxonomy for Evaluation of Distributed Control Strategies for Distributed Energy Resources

Contact Info

Product

Resources

About