Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
The European Council has recently set objectives in the matter of energy and climate
policies and thus the interest in renewable energies is more than ever at stake. However,
the introduction of renewable energies in an energy mix is also accelerated and altered
by political targets. The two most widespread renewable technologies, photovoltaic
and wind farms, have specific characteristics - decentralized, intermittency, uncertain
production forecast up until a few hours ahead - that oblige to adapt the network and
the current conventional generator control.
By using optimization techniques, it is possible to characterize the optimal energy mix
(i.e. the optimal share of every power technology in all the countries considered). In
this paper, the optimization function is defined as the sum of the yearly fixed cost of
deploying a certain amount of installed capacity with the cost of electricity generation
over the while year. Then the aim of the model is to evaluate the energy mix of least
One can imagine multiple applications for this model, depending on which issue is to
solve. Two case studies are developed in this report as examples. Renewable technologies
are modifying the organization of the electricity market because of their specific
characteristics. The first case study aims at quantifying the additional cost due to the
integration of renewable energies. The second is targeted to characterize the impact of
the integration of green energy sources on the deployment of Demand Response.
2016. , 89 p.