Distribution-Level Flexibility Market for Congestion Management

Esmat, Ayman; Usaola, Julio; Fernández, Andrés Martínez

doi:10.3390/en11051056

Cited by 59 publications

(44 citation statements)

References 45 publications

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“…The flexibility is also highly needed by DSOs to cope with these challenges. This idea of introducing flexibility to solve the operational challenges of distribution systems is also encouraged by policy makers [33].…”

Section: Drivers For Flexibilitymentioning

confidence: 99%

Local flexibility markets: Literature review on concepts, models and clearing methods

2020

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Section: Drivers For Flexibilitymentioning

confidence: 99%

Local flexibility markets: Literature review on concepts, models and clearing methods

2020

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“…Similarly, in [33] the DSO runs a market right after the day-ahead market clearing, in order to mitigate local congestions. The market in [41] uses a similar approach but considers potential flexibility rebound effects and is designed to work in the yellow phase of the German traffic light system [42]. The authors of [26] compare two approaches for a LFM.…”

Section: Literature Review Of Local Flexibility Marketsmentioning

confidence: 99%

EcoGrid 2.0: A large-scale field trial of a local flexibility market

et al. 2020

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The number of distributed energy resources installed in distribution networks is steadily increasing. Their flexibility can be leveraged by aggregators and used in the wholesale markets. However, the utilization of this flexibility cannot neglect the operating conditions of distribution networks, and thus some form of coordination between distribution and transmission system operators must exist. The idea of operating local flexibility markets has been proposed to address these issues, but experience from real-life demonstrations is still missing. The Danish project EcoGrid 2.0 has designed, implemented and tested a local flexibility market with 800 participating customers, which runs in parallel with the wholesale markets. First, this paper presents a method to identify and quantify the value of possible flexibility services that are beneficial to the distribution system operator. Next, it provides insight from the operation of a real local flexibility market, with a large number of controllable loads. Results show that aggregators are able to reliably shape the load of residential heating units to deliver flexibility services, despite the presence of large uncertainties. Services can act as an insurance policy against rare but consequential network overloadings and outages. In these rare cases flexibility services can increase social welfare significantly. However, such services should be carefully selected to avoid adverse effects. Finally, we provide with guidelines and some general remarks on the nature and the desirable characteristics of those markets and services.

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“…This is the case of control algorithms proposed for operations such as curtailment of MV wind generators [13] or EV smart charging [14]. Therefore, flexibility in distribution networks is an active research question, including DER units and end users in market models that exploit their capabilities to relieve congestion [15] and improve security of supply [16].…”

Section: Introductionmentioning

confidence: 99%

Data Analytics-Based Multi-Objective Particle Swarm Optimization for Determination of Congestion Thresholds in LV Networks

2019

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A growing presence of distributed energy resources (DER) and the increasingly diverse nature of end users at low-voltage (LV) networks make the operation of these grids more and more challenging. Particularly, congestion and voltage management strategies for LV grids have usually been limited to some elemental criteria based on human experience, asset oversizing, or grid reinforcement. However, with the current massive deployment of sensors in modern LV grids, new approaches are feasible for distribution network assets operation. This article proposes a multi-objective particle swarm optimization (MOPSO) approach, combined with data analytics through affinity propagation clustering, for congestion threshold determination in LV grids. A real case study from the smart grid of Smartcity Malaga Living Lab is used to illustrate the proposed approach. Within this approach, distribution system operators (DSOs) can take decisions in order to prevent situations of risk or potential failure at LV grids.

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Distribution-Level Flexibility Market for Congestion Management

Cited by 59 publications

References 45 publications

Local flexibility markets: Literature review on concepts, models and clearing methods

Local flexibility markets: Literature review on concepts, models and clearing methods

EcoGrid 2.0: A large-scale field trial of a local flexibility market

Data Analytics-Based Multi-Objective Particle Swarm Optimization for Determination of Congestion Thresholds in LV Networks

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