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In this paper, a recently developed stochastic programming technique that includes reliability constraints is used to solve the operations optimization problem of the Parambikulam-Aliyar project (PAP), a multireservoir system in India. The use of reliability constraints as chance constraints in reservoir operations optimization have been around for some time, but is still a challenging problem because either the results are not good or they cannot be applied in problems with more than one or two reservoirs when such techniques depend on discretization. The new implementation of chance constraints based on a previous model extended to multireservoir systems provides better results than so far known. This work is easy to apply because it requires only a standard nonlinear programming solver. [ABSTRACT FROM AUTHOR]