A Faithful Distributed Mechanism for Demand Response Aggregation

Mhanna, Sleiman; Verbič, Gregor; Chapman, Archie C.

doi:10.1109/tsg.2015.2429152

Cited by 48 publications

(25 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Indeed, using Danskin's theorem [58]- [60], the subdifferentials of D (λ) are Specifically, as the subproblems in (38) and (39) can have multiple optimal solutions for a given vector λ, the subdifferentials ∂D (λ) may be not be unique and the dual function D (λ) can be nonsmooth. 7 Consequently, applying a conventional gradient method [61] to this problem would most likely exhibit very slow convergence. This can be visualized in Figure 2, which illustrates the concave but nonsmooth dual function (and its contour plot) of a small problem comprising two households, each with two devices (an EV and an electric oven) scheduled over two time slots.…”

Section: Demand Aggregation Problemmentioning

confidence: 99%

See 1 more Smart Citation

A Fast Distributed Algorithm for Large-Scale Demand Response Aggregation

Mhanna

Chapman

Verbič

2016

IEEE Trans. Smart Grid

Self Cite

View full text Add to dashboard Cite

Abstract-A major challenge to implementing residential demand response is that of aligning the objectives of many households, each of which aims to minimize its payments and maximize its comfort level, while balancing this with the objectives of an aggregator that aims to minimize the cost of electricity purchased in a pooled wholesale market. This paper presents a fast distributed algorithm for aggregating a large number of households with a mixture of discrete and continuous energy levels. A distinctive feature of the method in this paper is that the nonconvex DR problem is decomposed in terms of households as opposed to devices, which allows incorporating more intricate couplings between energy storage devices, appliances and distributed energy resources. The proposed method is a fast distributed algorithm applied to the double smoothed dual function of the adopted DR model. The method is tested on systems with up to 2560 households, each with 10 devices on average. The proposed algorithm is designed to terminate in 60 iterations irrespective of system size, which can be ideal for an online version of this problem. Moreover, numerical results show that with minimal parameter tuning, the algorithm exhibits a very similar convergence behavior throughout the studied systems and converges to near-optimal solutions, which corroborates its scalability.

show abstract

Section: Demand Aggregation Problemmentioning

confidence: 99%

“…One way to obtain a smooth approximation of D (λ) is to modify the subproblems in (39) to ensure a unique optimal solution for every λ. The dual function is modified as follows: 7 If a function f (x) is smooth, its subdifferential contains only one point and therefore ∂f (x) = ∇f (x). where…”

Section: A First Smoothingmentioning

confidence: 99%

A Fast Distributed Algorithm for Large-Scale Demand Response Aggregation

Mhanna

Chapman

Verbič

2016

IEEE Trans. Smart Grid

Self Cite

View full text Add to dashboard Cite

show abstract

“…A comprehensive view on technical methodologies and architecture, and socioeconomic and regulatory factors that could facilitate the uptake of DR is reported in [3]. In the path of change mentioned above, the customer does not act as an individual; on the contrary, the customer is a member of an integrated community, coordinated by an intermediary named aggregator or coalition coordinator [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An Energy Box in a Cloud-Based Architecture for Autonomous Demand Response of Prosumers and Prosumages

et al. 2017

View full text Add to dashboard Cite

Abstract:The interest in the implementation of demand response programs for domestic customers within the framework of smart grids is increasing, both from the point of view of scientific research and from the point of view of real applications through pilot projects. A fundamental element of any demand response program is the introduction at customer level of a device, generally named energy box, able to allow interaction between customers and the aggregator. This paper proposes two laboratory prototypes of a low-cost energy box, suitable for cloud-based architectures for autonomous demand response of prosumers and prosumages. Details on how these two prototypes have been designed and built are provided in the paper. Both prototypes are tested in the laboratory along with a demonstration panel of a residential unit, equipped with a real home automation system. Laboratory tests demonstrate the feasibility of the proposed prototypes and their capability in executing the customers' loads scheduling returned by the solution of the demand-response problem. A personal computer and Matlab software implement the operation of the aggregator, i.e., the intermediary of the energy-integrated community constituted by the customers themselves, who participate in the demand response program.

show abstract

“…In reference [21] the distributed demand response (DDR) problem has been examined, where real-time balance in a neighbourhood has been studied. In reference [22], a distributed mechanism for demand response aggregation has been proposed. The mechanism is used for charging purposes and uses the day-ahead allocation and the customers' real consumption.…”

mentioning

confidence: 99%

Interoperability Testing Methodology for Smart Grids and Its Application on a DSM Use Case—A Tutorial

2018

View full text Add to dashboard Cite

Interoperability is a challenge for the realisation of smart grids. In this work, we first present an interoperability testing methodology, which is substantial to perform interoperability tests for the smart grid. To show its applicability and facilitate its comprehension, we present an example by applying it on a Demand Side Management (DSM) use case. The DSM use case is chosen because it is a major topic for modern grids and it involves the participation of many actors. The tutorial exemplifies the interactions among those actors. The Smart Grid Architecture Model SGAM framework is used, where the mapping of the use case is presented along with the Message Sequence Chart (MSC). Then we describe the profiling of the equipment, relevant technical information and standards, which form the basis for the design and execution of the interoperability tests. We focus on the technical part of the interoperability testing; therefore, attention is focused on the information and communication layer. We present how the interoperability tests should take place and we analytically show the respective Test Cases (TC). The verdict of the test should be either PASS or FAIL. The paper shows how to successfully use the methodology for interoperability testing on a specific use case, whereas its applicability can be extended to any smart grid interoperability use case.Interoperability refers to the ability of two or more devices from the same vendor, or different vendors, to exchange information and use that information for correct co-operation [4]. As stated by the CEN-CENELEC-ETSI Smart Grid Coordination Group (SG-CG) [5], this definition is extended to "The ability of two or more networks, systems, devices, applications, or components to interwork, to exchange and use information in order to perform required functions." In addition, "Interoperability between systems in a smart grid must be considered and well specified in use cases, in order to develop interoperable Smart Grid systems by design. Use cases provide a basis for the specification of functional requirements, non-functional requirements, Test Cases (TC) and test profiles".A framework that has been used for Interoperability purposes is the Smart Grid Architecture Model SGAM model, which stands for "Smart Grid Architecture Model" and is the main outcome of Reference Architecture working group mandated by the EU's 490 Mandate [6] entitled "Smart Grid Mandate-Standardization Mandate to European Standardization Organizations (ESOs) to support European Smart Grid deployment".Based on the SGAM framework there are five different layers of interoperability:

show abstract

A Faithful Distributed Mechanism for Demand Response Aggregation

Cited by 48 publications

References 14 publications

A Fast Distributed Algorithm for Large-Scale Demand Response Aggregation

A Fast Distributed Algorithm for Large-Scale Demand Response Aggregation

An Energy Box in a Cloud-Based Architecture for Autonomous Demand Response of Prosumers and Prosumages

Interoperability Testing Methodology for Smart Grids and Its Application on a DSM Use Case—A Tutorial

Contact Info

Product

Resources

About