  In this paper, a class of systems in which auxiliary batteries fed by fossil
fuel generation and wind farms work together to supply power to the grid are
modeled and strategies are solved to minimize the consumption of fossil fuels
while still allowing the total energy to satisfy the energy demand of the grid.
The wind resource is modeled using stochastic differential equations and the
grid energy demand is also stochastically modeled using stochastic differential
equations. The two stochastic models are well calibrated using wind resource
data from historical wind farms and historical grid energy demand data.
Finally, dynamic programming is used to solve this optimization problem.
