Algorithms and mathematical models for the technological process of primary oil refinery operating in the uncertain conditions are developed; the solution of the optimal control problem in the form of stochastic programming with probabilistic characteristics is presented. For solving the optimization problem, using the Lagrange method, the problem of development of decomposition algorithms is described and the method based on the transformation of the original problem according to the principle of deterministic analogue is proposed. The construction of the optimal control system created based on the developed models, optimization algorithm, and principles of automatic control of regime parameters of the primary oil refinery installation are considered.

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The article considers the development of deterministic and probabilistic models and control algorithm for the technological process of primary oil processing, as well as the solution of the problem of optimal control in the form of stochastic programming. To solve the problem of optimization of the researched technological system functioning by means of the Lagrange multiplier method, the decomposition algorithm and a method based on the transformation of the original problem on the principle of a deterministic analog have been developed. The principles of constructing an optimal control system based on the developed models, the optimization algorithm and the elements of automatic regulation of the regime parameters of the primary oil refining unit are proposed.