Smart meters: the gate to behind-the-meter?

Stagnaro, Carlo; Benedettini, Simona

doi:10.1016/b978-0-12-819951-0.00012-8

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…In the case of prosumers [ 20 ], smart meters can even be programmed with double or even multiple tariffs (e.g., day, night) [ 21 ]. Figure 1 presents a typical scheme of a smart metering system suitable for both domestic and industrial consumers.…”

Section: Energy Contour In the Context Of Smart Metering Availabilitymentioning

confidence: 99%

Energy Contour Forecasting Optimization with Smart Metering in Distribution Power Networks

Dumitru

Gligor

Vlasa³

et al. 2023

Sensors

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Smart metering systems development and implementation in power distribution networks can be seen as an important factor that led to a major technological upgrade and one of the first steps in the transition to smart grids. Besides their main function of power consumption metering, as is demonstrated in this work, the extended implementation of smart metering can be used to support many other important functions in the electricity distribution grid. The present paper proposes a new solution that uses a frequency feature-based method of data time-series provided by the smart metering system to estimate the energy contour at distribution level with the aim of improving the quality of the electricity supply service, of reducing the operational costs and improving the quality of electricity measurement and billing services. The main benefit of this approach is determining future energy demand for optimal energy flow in the utility grid, with the main aims of the best long term energy production and acquisition planning, which lead to lowering energy acquisition costs, optimal capacity planning and real-time adaptation to the unpredicted internal or external electricity distribution branch grid demand changes. Additionally, a contribution to better energy production planning, which is a must for future power networks that benefit from an important renewable energy contribution, is intended. The proposed methodology is validated through a case study based on data supplied by a real power grid from a medium sized populated European region that has both economic usage of electricity—industrial or commercial—and household consumption. The analysis performed in the proposed case study reveals the possibility of accurate energy contour forecasting with an acceptable maximum error. Commonly, an error of 1% was obtained and in the case of the exceptional events considered, a maximum 15% error resulted.

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Section: Energy Contour In the Context Of Smart Metering Availabilitymentioning

confidence: 99%

Energy Contour Forecasting Optimization with Smart Metering in Distribution Power Networks

Dumitru

Gligor

Vlasa³

et al. 2023

Sensors

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“…When applying state-of-the-art electricity metering systems in microgrids, it is necessary for the ICT to be adaptive to the parameters measured, ensure cybersecurity, access control, etc. [130]. The need for the ICT is due to the impossibility of implementing optimal power flow control when the number of DERs in microgrids is growing and there are network constraints [131].…”

Section: Information and Communications Technology Infrastructure Of ...mentioning

confidence: 99%

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

et al. 2023

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The process of building microgrids on top of existing passive distribution networks warrants a multi-criteria analysis. Besides the calculation of the investment outlays needed for the modernization of distribution networks, such an analysis covers an assessment of the technological and economic effects of building microgrids. The resulting effects depend on the topology and configuration of distribution networks, specific microgrid features, the choice of the current type for the entire microgrid or its individual parts, the methods of connecting distributed energy resources (DERs), the availability and maturity of information and communications technology (ICT) infrastructure, and other factors. Comprehensive input data allow for designing an optimal microgrid configuration, but the main technological and economic effects are determined by the algorithms of operation and the parameter settings of the automatic control system (ACS) and the protection system. The known approaches to designing microgrids focus on addressing basic tasks while minimizing the investment required for their implementation. The above is fully justified when constructing new microgrids, but building microgrids on top of existing distribution networks, given the uniqueness of their topology and configuration, does not allow the use of standardized solutions. The development of approaches to the design of microgrids under such constraints, with minimized investment in the modernization of existing distribution networks, is an urgent task. The use of different types of current for individual microgrid segments determines the choice of the particular ACS and protection system, which depends on the availability of information and communications technology infrastructure. This article contributes a review of approaches to designing AC and AC–DC microgrids so as to maximize their technological and economic effects. We review techniques for analyzing the existing distribution networks aimed at choosing the type of current for the entire microgrid or its individual parts, the optimal points for the connection of microgrids to distribution networks, and the mix and capacity of DERs, with such choices informed by the conditions of the switching devices and information and communications technology infrastructure. This article presents the results of the analysis of approaches to choosing the optimal configuration of microgrids, microgrid ACS, and protection system, with an evaluation of the technological and economic effects subject to the minimization of investment in the modernization of the existing distribution networks.

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“…Defined in [18] as an "electric customer who generates electricity and sells excess back to the Utility", the prosumer retrieves both energies from the grid and self-produced energy from rooftop solar panels or other generating devices, while injecting into the grid only the power that exceeds its need [19]. A prosumager instead is also equipped with a storage device, which allows him to maximize efficiency since the self-consumption is extended in non-productive hours and vice versa; what is produced and not instantly consumed can be stocked [20].…”

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confidence: 99%

Business Models for Energy Community in the Aggregator Perspective: State of the Art and Research Gaps

Bertolini

Morosinotto

2023

Energies

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Distributed Energy Resources (DERs) are spreading under the pressure of climate change mitigation plans and the framework, recognized as the most suitable to exploit DER diffusion, is the Energy Community (EC). Understanding the role of energy companies, especially Aggregators, in this context, is still an open topic, as it is not clear how they can support members in the aggregation process and how they create value through their business. The aim of the study is therefore to revise whatever is currently present in the research agenda and consequently a systematic literature review has been carried out. The contribution of this work consists of illustrating the main features of Aggregators, pointing out how they implement their strategies in the energy markets, with which services they capture value, who their partners and customers are, what the financial aspects are of their activities with respect to the size of the aggregated clusters, and, in conclusion, which are the main business model structures currently deployed. Then, considerations are made concerning EC context, identifying the areas where an Aggregator could usefully support communities’ establishment and management, solving well-known hindrances, and what gaps future research should fill.

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Smart meters: the gate to behind-the-meter?

Cited by 8 publications

References 12 publications

Energy Contour Forecasting Optimization with Smart Metering in Distribution Power Networks

Energy Contour Forecasting Optimization with Smart Metering in Distribution Power Networks

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

Business Models for Energy Community in the Aggregator Perspective: State of the Art and Research Gaps

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