This chapter reviews how stochastic dual dynamic programming (SDDP) has been applied
to hydropower scheduling in the Nordic countries. The SDDP method, developed in Brazil …

Weather-dependent renewable energy resources are playing a key role in decarbonizing
electricity. There is a growing body of analysis on the impacts of wind and solar variability on …

Pigeon-inspired optimization (PIO) is a new type of intelligent algorithm. It is proposed that
the algorithm simulates the movement of pigeons going home. In this paper, a new pigeon …

From the point of view of a price-taking hydropower producer participating in the day-ahead
power market, market prices are highly uncertain. The present paper provides a model for …

In this paper, we propose a novel nonlinear approach to solve the short-term hydro
scheduling problem under deregulation, considering head-dependency. The actual size of …

The hydro generation scheduling problem has a unit commitment sub-problem which deals
with start-up/shut-down costs related hydropower units. Hydro power is the only renewable …

The existing hydropower plants that were built to serve the base load in the past are now
made to run as stand-by units to take up the variation in generation caused due to the …

Optimization tools are widely used for solving the short-term hydro scheduling (STHS)
problem in a cascaded hydro system. In a mixed integer linear programming (MILP)-based …

We present a model for operational stochastic short-term hydropower scheduling, taking into
account the uncertainty in future prices and inflow, and illustrate how the benefits of using a …

In many power markets around the world the energy generation decisions result from two-
sided auctions in which producing and consuming agents submit their price-quantity bids …