A Glimpse of SmartHG Project Test-bed and Communication Infrastructure

Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Tronci, Enrico; Ebeid, Emad; Mikkelsen, Soren Aagaard; Jacobsen, Rune Hylsberg; Gruber, J.K.; Hayes, Barry; Huerta, F.; Prodanović, Milan

doi:10.1109/dsd.2015.106

Cited by 8 publications

(6 citation statements)

References 11 publications

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“…Using power demands recorded in 62 houses in Denmark by the EU project SmartHG [30], we experimentally showed that Demand-Aware Network Constraint mAnager is able to reduce aggregated demand bounds violations w.r.t. the unmanaged demand by about 50% on average (w.r.t.…”

Section: Discussionmentioning

confidence: 99%

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A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries

Melatti

Mari

Mancini

et al. 2022

IEEE Trans. Ind. Electron.

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Within electrical distribution networks, substation constraints management requires that aggregated power demand from residential users is kept within suitable bounds. Efficiency of substation constraints management can be measured as the reduction of constraints violations w.r.t. unmanaged demand. Home batteries hold the promise of enabling efficient and user-oblivious substation constraints management. Centralized control of home batteries would achieve optimal efficiency. However, it is hardly acceptable by users, since service providers (e.g., utilities or aggregators) would directly control batteries at user premises. Unfortunately, devising efficient hierarchical control strategies, thus overcoming the above problem, is far from easy. We present a novel two-layer control strategy for home batteries that avoids direct control of home devices by the service provider and at the same time yields nearoptimal substation constraints management efficiency. Our simulation results on field data from 62 households in Denmark show that the substation constraints management efficiency achieved with our approach is at least 82% of the one obtained with a theoretical optimal centralized strategy. NOMENCLATUREs EDN substation T s set of time slots for substation s U set of houses (users) t time slot (element of T ) u house (element of U ) T u set of time slots for house u; note that, for all notation depending on an house index u, if the house is understood, u is not shown T u,P set of time slots in T u in which the EV is plugged-in on house u τ l duration (in minutes

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Section: Discussionmentioning

confidence: 99%

“…Experimental Results. We experimentally evaluate the efficiency and effectiveness of DANCA using data collected from sensors in 62 Danish households connected to the same substation during the SmartHG project [30]. As a result: 1) DANCA is able to achieve a 50% efficiency (i.e., reduction of substation bounds violations w.r.t.…”

Section: Introductionmentioning

confidence: 99%

A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries

Melatti

Mari

Mancini

et al. 2022

IEEE Trans. Ind. Electron.

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“…This provided a means of implementing the individualised price policies. The SmartHG test bed and communication infrastructure are outlined in more detail in [29]. A full evaluation of this home energy management system is out of the scope of this paper, which is devoted to computational services at the network level.…”

Section: Implementation Issuesmentioning

confidence: 99%

Residential Demand Management Using Individualized Demand Aware Price Policies

Hayes

Melatti

Mancini

et al. 2017

IEEE Trans. Smart Grid

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This paper presents a novel approach to Demand Side Management (DSM), using an "individualised" price policy, where each end user receives a separate electricity pricing scheme designed to incentivise demand management in order to optimally manage flexible demands. These pricing schemes have the objective of reducing the peaks in overall system demand in such a way that the average electricity price each individual user receives is non-discriminatory. It is shown in the paper that this approach has a number of advantages and benefits compared to traditional DSM approaches. The "demand aware price policy" approach outlined in this paper exploits the knowledge, or demand-awareness, obtained from advanced metering infrastructure. The presented analysis includes a detailed case study of an existing European distribution network where DSM trial data was available from the residential end-users.

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“…We analyze the performance and latency of the Modbus TCP/IP protocol and requests over a RESTful web service in our system. There are several systems in literature, in which web services in smart grid systems are used, for example, in [4][5][6]18].…”

Section: Motivation and Related Workmentioning

confidence: 99%

“…The sensor nodes (energy analyzers) are able to measure energy data like power and voltage from the grid and provide this data for monitoring and analyzing. Based on these data and analysis, further concepts can be developed for reducing energy demand and costs [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Comparison of smart grid architectures for monitoring and analyzing power grid data via Modbus and REST

et al. 2016

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Smart grid, smart metering, electromobility, and the regulation of the power network are keywords of the transition in energy politics. In the future, the power grid will be smart. Based on different works, this article presents a data collection, analyzing, and monitoring software for a reference smart grid. We discuss two possible architectures for collecting data from energy analyzers and analyze their performance with respect to real-time monitoring, load peak analysis, and automated regulation of the power grid. In the first architecture, we analyze the latency, needed bandwidth, and scalability for collecting data over the Modbus TCP/IP protocol and in the second one over a RESTful web service. The analysis results show that the solution with Modbus is more scalable as the one with RESTful web service. However, the performance and scalability of both architectures are sufficient for our reference smart grid and use cases.

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A Glimpse of SmartHG Project Test-bed and Communication Infrastructure

Cited by 8 publications

References 11 publications

A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries

A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries

Residential Demand Management Using Individualized Demand Aware Price Policies

Comparison of smart grid architectures for monitoring and analyzing power grid data via Modbus and REST

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