Sustainable Infrastructures for Renewable Energy Systems: Research

Topics

1. Model-based power systems analysis considering grid restrictions

  • Regional power system development and nodal pricing
  • Analysis of grid congestions and load flow management
  • Development of the robustness of power systems

Main model(s) supporting the research:
PERSEUS-NET, an advanced version of PERSEUS (Program Package for Emission
Reduction Strategies in Energy Use and Supply), allowing for the consideration of grid restrictions.

2. Model-based analysis of distributed power systems

  • Analysis of load shifting potential and user acceptance of(price-based) demand side management (DSM)
  • Stochastic approaches for layout planning, energy management and forecasting in distributed energy systems
  • Market design of distributed energy systems

Main model(s) supporting the research:
PowerACE, an agent-based simulation model, developed within the research group
"Energy markets and energy systems analysis", which was adapted and extended for
the use in decentralised systems.

3. Socio-techno-economic analysis of linked power systems

  • Analysis of interaction between human and smart home under real living conditions in laboratory
    "Energy Smart Home Lab"
  • Identifying load shift potentials
  • Analysis of acceptance and willingness to adopt for innovative power systems, for example
    energy management systems or different incentive systems for the adaption of energy consumption behavior
  • Collection of user preferences for different designs of new power systems

Methods and Models

  • Agend-based Electricity Market Model

The agent-based electricity market simulation using the POWERACE model enables the mapping of bidding and investment behavior and strategies in the European electricity markets. The resulting market clearing also forms the starting point for the (electricity) grid analyses.

  • Operation and planning of integrated systems

The interactions of electricity, natural gas and hydrogen infrastructures are analyzed with coupled planning and integrated operation models to investigate the contribution to the success of the energy transition. Special focus is placed on how the allocation of power-to-gas plants influences a cost-effective system design. Solving the mathematical models for grid expansion planning requires specifically tailored methods, which are being researched and developed in the group.

  • Large-scale nonlinear programming:

The detailed modeling of large-scale electrical energy systems, e.g. the German or European transmission network, as well as the question of its cost-optimal, low-loss or otherwise optimal operation results in complex, non-linear, large-scale optimization problems. In addition to deriving and implementing models that are as realistic as possible for the various components of the system, solving the optimization problems is also a major challenge; modern mathematical methods must be used for this and adapted to the respective problem.

  • Flow-based Market Coupling

Based on detailed data sets of the continental European electricity transmission grid (Core CCR) and models for regionalized expansion planning of renewable generation plants, the Tango-FBMC model enables a simulation of flow-based market coupling as it has been applied in the European electricity markets since May 2015. Particular attention is paid to the consideration of the minimum transmission capacities (minRAM) according to the Clean Energy Package, the consideration of (n-1) security and the integration of a large number of flexible consumers and energy storage systems into the future market development for the respective grid expansion scenario.

Current Projects
Titel Ansprechpartner Starttermin Endtermin

08/2023

07/2026

Dr. Armin Ardone (für das IIP)

2022

2027

Thorben Sandmeier, Leandra Scharnhorst, Dr. Armin Ardone

Completed Projects
Project Start End

2019

2022

2019

2022

2014

2016

2013

2016

2013

2014

2013

2015

2012

2015

2003

2007

12/2015

01/2019

09/2016

12/2019

08/2013

09/2016

03/2017

09/2020

01/2019

12/2021

01/2017

03/2020

01/2016

12/2017

01/2015

12/2020