A central concentrating solar power (CSP) plant is
increasing in the power systems as novel technology in the solar
energy sources. Also, solar thermal storage unit is combined with
the CSP plant to increase flexibility and decrease the dependence
on the instantaneous solar radiation. Furthermore, the CSP plant
can be obtained the optimal offering strategies to submit to the
electricity market in order to sell the produced power and increase
the expected profit. In this paper, the uncertaintymodeling of solar
irradiation and electricity market price is a big challenge for a
CSP plant. Therefore, the scenario-based stochastic framework is
proposed for optimal scheduling of a CSP plant in the presence of
uncertainties to obtain optimal offering curves in order to sell to
power market. Also, the risk related to uncertainties is considered
via the downside risk constraints (DRC),which leads to obtain riskconstrained
stochastic optimization of a CSP plant. The proposed
model is formulated as mixed-integer linear programming, which
is solved via CPLEX solver under GAMS optimization software.
Risk-averse strategy is introduced in comparison with risk-neutral
strategy to investigate the impacts of DRC implementation, which
leads to decrease the expected profit while the expected risk-inprofit
reduced.