TITLE:
Important Issues and Results When Considering the Stochastic Representation of Wind Power Plants in a Generation Optimization Model: An Application to the Large Brazilian Interconnected Power System
AUTHORS:
Juliana F. Chade Mummey, Ildo L. Sauer, Dorel S. Ramos, William W.-G. Yeh
KEYWORDS:
Stochastic Optimization, Hydrothermal Systems Planning, Wind Power, Complementarity, Synthetic Series Generation
JOURNAL NAME:
Energy and Power Engineering,
Vol.11 No.8,
August
16,
2019
ABSTRACT: Wind power has an increasing share
of the Brazilian energy market and may represent 11.6% of total capacity by
2024. For large hydro-thermal systems having high-storage capacity, a complementarity
between hydro and wind production could have important effects. The current
optimization models are applied to dispatch power plants to meet the market
demand and optimize the generation dispatches considering only hydroelectric
and thermal power plants. The remaining sources, including wind power, small-hydroelectric plants and biomass plants, are excluded from the
optimization model and are included deterministically. This work introduces a
general methodology to represent the stochastic behavior of wind production
aimed at the planning and operation of large interconnected power systems. In
fact, considering the generation of the wind power source stochastically could
show the complementarity between the hydro and wind power production, reducing
the energy price in the spot market with the reduction of thermal power
dispatches. In addition to that, with a reduction in wind power and a
simultaneous dry-season occurrence, this model, is able to show the need of
thermal power plants dispatches as well as the reduction of the risk of energy
shortages.