Balancing Energy Flexibilities Through Aggregation

Valsomatzis, Emmanouil; Hose, Katja

doi:10.1007/978-3-319-13290-7_2

Cited by 8 publications

(6 citation statements)

References 17 publications

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“…However, some pilot projects and recent regulation are already fostering the use of DER for local congestion management. That is the case in Germany and Denmark, for instance (Valsomatzis, ; Wellssow et al, ). In the former, a traffic light system is being implemented by one DSO in a pilot project, where the network conditions are identified by the traffic light colors.…”

Section: Missing Elements For Tso‐dso Coordination In Balancing and Lmentioning

confidence: 96%

Transmission and distribution coordination in power systems with high shares of distributed energy resources providing balancing and congestion management services

Lind

Cossent

Ávila

et al. 2019

WIREs Energy & Environment

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This paper presents a literature review on the coordination between transmission and distribution grid operators in power systems, with particular emphasis on the provision of balancing and congestion management services. Firstly, a brief historical background is presented in order to highlight the ongoing changes current power systems are experiencing and that call for greater coordination between transmission system operators (TSO) and distribution system operators (DSO).These include the growth in distributed energy resources (DER), new roles to be adopted by both system operators (SO), and the integration of new agents such as independent aggregators. Next, the paper places its focus on a particular topic which, based on the review presented, is presumably considered as the most relevant issue requiring tighter cooperation mechanisms, that is, the procurement of balancing services from DER by TSOs whilst DSOs procures the same DER flexibility to manage local congestions. Four key elements are identified for this coordination to take place, namely (a) DER flexibility integration, (b) coordination schemes, (c) transmission-distribution optimization, and (d) data exchange. For each one of them, the paper presents a literature review and identifies the main existing technical, economic, and regulatory barriers. These barriers include, among others, the limitation for small DER flexibility to participate in grid service markets, the challenges for independent aggregators, the technical barriers for optimizing a transmission-distribution grid, and the lack of maturity in coordination schemes and TSO-DSO data exchange models.

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Section: Missing Elements For Tso‐dso Coordination In Balancing and Lmentioning

confidence: 96%

Transmission and distribution coordination in power systems with high shares of distributed energy resources providing balancing and congestion management services

Lind

Cossent

Ávila

et al. 2019

WIREs Energy & Environment

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show abstract

“…At the same time, managing large numbers of individual FOs is tedious and complex. A common solution is to utilize FO aggregation, where flexibilities from individual flexible loads are combined and offered in a more useful and effective aggregated form [48,50,51,53,54]. The aggregated FOs have much larger energy amounts and flexibility margins and are easier to manage.…”

Section: Flexoffer Manager (Fman)mentioning

confidence: 99%

Goflex

Neupane

Šikšnys

Pedersen

et al. 2022

Proceedings of the Thirteenth ACM International Conference on Future Energy Systems

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A demand response scheme that uses direct device control to actively exploit prosumer flexibility has been identified as a key remedy to meet the challenge of increased renewable energy sources integration. Although a number of direct control-based demand response solutions exist and have been successfully deployed and demonstrated in the real world, they are typically designed for, and are effective only at small scale and/or target specific types of loads, leading to relatively high cost-of-entry. This prohibits deploying scalable solutions.The H2020 GOFLEX project has addressed this issue and developed a scalable, general, and replicable so-called GOFLEX system, which offers a market-driven approach to solve congestion problems in distribution grids based on aggregated individual flexibilities from a wide range of prosumers, both small (incl. electric

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“…Jonathan Brandt 1* , Emilie Frost 2,3 , Stephan Ferenz 2,3 , Paul Hendrik Tiemann 2,3 , Astrid Bensmann 1 , Richard Hanke-Rauschenbach 1 and Astrid Nieße 2,3 Main Text Introduction International agreements to reduce greenhouse gas emissions result in growing numbers of renewable energies in the power grid, especially in recent years [1]. Increasing the share of renewable energies is mostly accompanied by the contribution of volatile devices, such as photovoltaic systems and wind turbines, whose feed-in behavior is highly dependent on the weather and therefore results in an alternating supply situation [2].…”

Section: Choosing the Right Model For Unified Flexibility Modelingmentioning

confidence: 99%

“…Additionally, emission reduction initiatives in the mobility and heating sector lead to a growing electrical demand, by a growing number of heat pumps and electric vehicles in the lower levels of electrical energy supply systems [3][4][5]. This expanding of electricity demand can result in consumption peaks and amplifies the renewables-based fluctuation on the generation side, leading to imbalances and congestions in power grids [6].…”

Section: Choosing the Right Model For Unified Flexibility Modelingmentioning

confidence: 99%

Choosing the right model for unified flexibility modeling

Brandt

Frost

Ferenz

et al. 2022

Preprint

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Using aggregated flexibility from distributed small-scale power devices is an extensively discussed approach to meet the challenges in modern and increasingly stochastic energy systems. It is crucial to be able to model and map the flexibility of the respective power devices in a unified form to increase the value of the cumulative flexibility from different small-scale power devices by aggregation. In order to identify an already existing modeling approach suitable for unified flexibility modeling, we provide a comprehensive overview of the broad range of flexibility models described in scientific literature. Additionally, we present in detail five selected modeling approaches allowing the generation of a unified flexibility representation for different power devices. By using an evaluation metric we assess the suitability of the selected approaches for unified flexibility modeling and their applicability. To allow a more detailed performance analysis, the best evaluated models are implemented and simulations with different small-scale devices are performed. The results shown in this paper highlight the heterogeneity of modeling concepts deriving from the various interpretations of flexibility in scientific literature. Due to the varying complexity of the modeling approaches, different flexibility potentials are identified, necessitating a combination of approaches to capture the entire spectrum of the flexibility of different small-scale power devices. Furthermore, it is demonstrated that a complex model does not necessarily lead to the discovery of higher flexibility potentials, and recommendations are given on how to choose an appropriate model.

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Balancing Energy Flexibilities Through Aggregation

Cited by 8 publications

References 17 publications

Transmission and distribution coordination in power systems with high shares of distributed energy resources providing balancing and congestion management services

Transmission and distribution coordination in power systems with high shares of distributed energy resources providing balancing and congestion management services

Goflex

Choosing the right model for unified flexibility modeling

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