In order to find decisions in finance, regulations, politics including long term strategies for the electricity system and strategic planning on the industrial side, a holistic view on the overall energy system and markets is required at different levels of detail. These include mainly aggregated regional views of:
- power production units (differentiated according to technologies)
- electricity networks (AC/DC)
- weather predictions and renewable feed in
- demand forecasts (industry, trade sector, households)
and in different representations of markets (long term, spot, intraday, balancing) and participants producers (including productions of renewables)
- network operators
- consumers including demand side management
- policy and regulations
- traders and aggregators
The aim of a system modelling approach is to investigate the development of the system with respect to different time levels and corresponding questions.
Strategic (10-50 years):
On the strategic side problems of interest are:
for policy makers
- development of long term pathways to energy transition
- defining long term targets of the electricity system depending on e.g. climate, emission and renewable targets
- sensitivity analysis and system security aspects
- investiagtions of different policy designs on their impact on the system
for producers
- the perspective of long term market and general technology development
- the effects of support schemes on the profitability of (renewable) production
- the influence of political regulations and targets on the energy system
- long term strategic portfolio effects
Tactical (1-10 years):
for policy makers and regulators:
- system security and reserve capacities
for producers
- influence of regulations and market rules on dispatch
- influence on the political debate and market design issues
for traders and industries
- medium term portfolio effects including long term bilateral contracts
Operational:
network operators and regulators:
- influence of balancing of uncertainties in renewable feed-in and demand
producers:
- predictions of market development and revenues depending on weather and demand forecasts
- support of optimal dispatch decisions
- assesment of uncertainies and risks
marketeers
Contributors:
Prof. Christoph Helmberg, TU Chemnitz