Electricity Market Analysis - DEFINE

This section comprises 2 work-packages. The main beneficiaries are DIW and ESEA.

1. Elaborations on the Electricity Market Model (WP2)

Objectives

• Development of two model frameworks which depicts the interdependencies between e-mobility roll-out and European electricity grids
  

• Creation of power market models as a tool to approximate the functioning of the core models
  

• Operation of EV as a switchable load
  

• Elecetricity grid representation
  

• International trade patterns
  

• Creation of a common and comparable model framework for Germany and Austria
  

Description

Task 2.1: Linearisation of binary constraints
A major complexity of unit commitment modes derives from the fact that unit commitment is naturally a binary decision, with power plants having either on- or off-status. To account for this binary nature, integer variables are usually used in simulation models.

Task 2.2: Inclusion of EV demand
The EV-Demand will be simulated through typical user patterns of passenger cars.

Task 2.3: Inclusion of storage management
Electric vehicles can possibly form an important role in determining the back-up capacity of electricity grids to deal with increased renewable input. EV batteries can be modeled as a potential storage option for utilities, both as bi-directional storage (V2G) or mono-directional storage option.

Task 2.4: Load Flow Model mainly carried out by ESEA for Austria and likely Germany
A model structure that allows for a quantification of the impact of EV charging on power grid congestion and system reliability is built. This analysis is carried out at the high voltage level.

Task 2.5: Include consumer electricity prices mainly carried out by ESEA for Austria and likely Germany
EV, load infrastructure roll-out or the extension of capacities will put upward pressure on electricity prices, therefore a reallocation of costs will be necessary. The model developed by ESEA is ideally suited for estimating the overall effect of e-mobility on market electricity prices.

2. Completion of Electricity Market Model & Application (WP7)

Objectives

• Feed the electricity market model structure from WP2 with required data
  

• Validation of the model
  

• Execution and analysis of the model under the scenarios built in  WP4
  

Description

Task 7.1: Feed the electricity market model with data

Deals with the interdependencies between an e-mobility roll out and European electricity markets and the development of model frameworks to address these interdependencies for Austria and Germany.

Task 7.2: Find and correct errors
This work consistis mainly in debugging errors, irregularities and unrealistic relations. The aim is that the model outcomes replicate reral world behaviour.

Task 7.3: Execution and analysis of the model
Deals with the calibration, validation and application of the bottom-up electricity market model. Run the model consecutively for each scenario and analyse the results.