Abstract (EN):
In order to overcome a number of difficulties
detected on the Brazilian electricity market this paper proposes
and tests a bid based short-term market. To simulate the
behavior of the hydros in this new market, it was implemented
an Agent-Based Model - ABM using the reinforcement QLearning
algorithm, Simulated Annealing, and linear
programming. In the simulations we used real data from the
Brazilian power system encompassing more than 98% of the
total hydro installed capacity and three years of market data.
The results indicate that the management of (virtual) reservoirs
can be under the responsibility of each hydro, which could save
water according to their own risk perception, while it is
maintained the current efficiency and security levels. Results
also suggest that the final monthly short-term market prices can
substantially decrease in comparison with the current prices.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
5
License type: