PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 5, 2026IET conference proceedings.0 citations

Flexibilisation of distribution grid participants with dynamic grid fees

View Full Paper
DHDennis HuschenhöferZentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-WürttembergLRLinda RothZentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-WürttembergJPJ PetzschmannZentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg

Key Points

  • The aim is to explore how dynamic grid fees and predictive price signals can alleviate grid bottlenecks caused by increased electrification.
  • Investigate the coordination of generation plants, local storage facilities, and controllable consumers.
  • Examine the impact of dynamic electricity prices on grid efficiency and bottlenecks.
  • Utilize automated processes for energy use reduction.
  • Dynamic fees can effectively reduce grid bottlenecks associated with heat pumps and charging infrastructure.
  • Predictive price signals enhance the operation of energy systems, balancing supply and demand.
  • Optimization of the overall electrical energy supply can be achieved across different sectors.

Abstract

The challenge for decarbonising the energy system is increasing electrification and system-friendly supply to customer installations, neighbourhoods and charging clusters. In particular, the increasing prevalence of heat pumps and charging infrastructure for electric vehicles can cause grid bottlenecks. These can be exacerbated by dynamic electricity prices, which do not take grid restrictions into account and tend to increase simultaneity. The grid operator can take action on the basis of Section 14a of the German Energy Industry Act (EnWG). To do so, the operation of generation plants, local storage facilities and controllable consumers must be coordinated with the grid and the energy market. This can reduce grid bottlenecks and optimise the overall supply of electrical energy in terms of region and time for use in the various sectors of electricity, heat and mobility in a low-carbon maNUCr. In addition, the need for energy use from central storage facilities or through the reconversion of hydrogen into electricity can be reduced through automated processes, thereby lowering overall system costs. The CACTUS project goes beyond the active control approach and investigates the feasibility and effectiveness of predictive price signals.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Huschenhöfer et al. (2026) studied this question.

synapsesocial.com/papers/69a91e57d6127c7a504c24eehttps://doi.org/10.1049/icp.2025.4406
Ask AI
Helpful
Bookmark
Share
View Full Paper