The type of stochastic programming problem to be solved depends on the system characteristics. The low p Bernouilli type probability distribution of disasters produces analogies in the corresponding scenario structure. In this approach scenarios are sequences of situations. In hydro-thermal systems where inflows are random with an important variance, a disaster could arise if a long run of low inflows occurs. A project P will be represented by a gas turbine of low investment cost and corresponding high variable cost.
Many problems arise in practical systems with that kind of complements.
Furthermore, there is available information about negative linear correlation between the hydrological situation in pretty distant regions, many times in different countries. Only countries of the size of Brazil are able to profit of complementary basins without international co-ordination. Other applications are possible, like disasters from hurricanes, outage of very big generation plants, changes in internal regulations, changes in international trade, etc. Applications are not limited to electricity markets. If very few BCs exist, perhaps it would be good that governments share their stocks.