Dmitry V. Sokolov, Evgeny A. Barakhtenko

Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences

Determining the optimal parameters of heat supply systems involves finding a solution that provides the best network capacity by replacing pipelines and installing (upgrading) pumping stations. In this case, we usually solve the complex problem of nonlinear programming with discrete and continuous variables. The ESI SB RAS has developed effective methods for its solution. A method based on dynamic programming was developed for a tree-like network. For ring networks, there is a multi-loop optimization method based on the principle of sequential improvement of the solution. An important feature of these methods is that they allow you to fully take into account the properties of complex mathematical models that determine the features of the equipment used, methods of its installation and operation. The paper presents the results of the further development of algorithms for solving the complex problem of determining the optimal parameters of heat supply systems. A modified method and algorithms for determining the optimal parameters of heating systems are proposed. The proposed method and algorithms implemented in the SOSNA software. SOSNA is used to solve problems of optimal reconstruction of heat supply systems of cities.

dynamic programming, multi-loop optimization method, multi-level modeling, optimal parameters of the heat supply system, hierarchical model of the heat supply system, software