scholarly journals Capacity and Energy Local Flexibility Markets for Imbalance and Congestion Management

Author(s):  
Angel Paredes ◽  
Jose A. Aguado
Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4113
Author(s):  
Fabien Roques ◽  
Theo Dronne ◽  
Marcelo Saguan

With the growth of decentralized resources, congestion management at the distribution level has become a growing issue in Europe. Several initiatives with local flexibility markets are being implemented, with different designs and objectives. In this paper, we provide a comparative assessment of four case studies of local flexibility markets (ENERA, GOPACS, UKPN, and ENEDIS) in different center-western Europe countries: Germany, the Netherlands, the United Kingdom, and France. We identify a number of differences across these countries that have an impact on the drivers of implementation of these local flexibility markets and their market design such as the type and depth of congestion, the organization and governance of networks operators, the current approach for congestion management, and the need for the development of additional flexibility sources. We find that the different market design choices can be explained by the local specificities and use the four case studies to generalize our findings and define a typology of possible approaches for flexibility markets depending on the electricity system local specificities, as well as the sector governance and the policy priorities.


Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3932
Author(s):  
Andreas Zeiselmair ◽  
Simon Köppl

Local flexibility markets or smart markets are new tools used to harness regional flexibility for congestion management. In order to benefit from the available flexibility potential for grid-oriented or even grid-supportive applications, complex but efficient and transparent allocation is necessary. This paper proposes a constrained optimization method for matching the flexibility demand of grid operators to the flexibility supply using decentralized flexibility options located in the distribution grid. Starting with a definition of the operational and stakeholder environment of smart market design, various existing approaches are analyzed based on a literature review and a resulting meta-analysis. In the next step, a categorization of the allocation method is conducted followed by the definition of the optimization goal. The optimization problem, including all relevant input parameters, is identified and formulated by introducing the relevant boundary conditions and constraints of flexibility demand and offers. A proof of concept of the approach is presented using a case study and the Altdorfer Flexmarkt (ALF) field test within the project C/sells. In this paper, we analyze the background of the local flexibility market, provide the methodology (including publishing the code of the matching mechanism), and provide the results of the field test.


Author(s):  
Sigurd Bjarghov ◽  
Mohsen Kalantar-Neyestanaki ◽  
Rachid Cherkaoui ◽  
Hossein Farahmand

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3012
Author(s):  
Carlo Schmitt ◽  
Felix Gaumnitz ◽  
Andreas Blank ◽  
Olivier Rebenaque ◽  
Théo Dronne ◽  
...  

Local flexibility markets (LFMs) are a market-based concept to integrate distributed energy resources into congestion management. However, the activation of flexibility for storage-based flexibility changes the respective state of charge. Compensation in later points of time is needed to regain the original flexibility potential. Therefore, we propose a LFM bid formulation including both flexibility and compensation. Furthermore, flexibility market participation might lead to inc-dec-gaming, i.e., congestion-increasing behavior to maximize profits. However, this inc-dec-gaming might lead to electricity market schedule deviations if LFM offers are not activated. We propose a risk-averse modeling formulation considering the potential non-activation of LFM bids to provide a framework for the assessment of LFM participation comparing different approaches. Our exemplary case studies demonstrate the proposed LFM bid formulation and show the impact of LFM participation modeling on inc-dec-gaming and congestion management costs.


2019 ◽  
Vol 6 (1) ◽  
pp. 61-66
Author(s):  
D. Dalabeih ◽  
◽  
A. Dahbour ◽  
A. Al Mabrouk ◽  
R. Al Qadi

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