Both in Russia and abroad, energy efficiency problems are relevant, while heat supply systems have significant energy saving reserves, which can be realized by organizing optimal operating modes. In practice, the task of planning modes of heat supply systems is solved by multivariate mode calculations, while the choice of methods for organizing the modes is assigned to the specialist performing the calculations, which does not guarantee the optimality of the obtained modes. Automation of solving these problems is complicated by a number of factors. For these reasons, there are no methods and software systems suitable for wide practical application. This determines the relevance of developing separate methods and programs for calculating optimal modes of heat supply systems. The subject of this article is the tasks and methods of optimizing operation modes of heat supply systems using several objective functions at the same time. The object of application is hydraulically inextricable heat supply systems. It is assumed that the temperature schedule on heat source is set, the heat losses in the networks are eliminated, and their residual value can be neglected. In this case, the task is to optimize the hydraulic mode.
The article shows that the problem of dimension is a significant obstacle to the automation of solving the problem of finding optimal hydraulic modes of heat supply systems. To overcome this problem, the authors have previously proposed a hierarchical approach to optimizing the hydraulic modes of heat supply systems. The article discusses the problem of aggregating distribution heating networks within the framework of this approach. To solve it, the previously proposed by the authors of loop reducing dynamic programming method is adapted. Its operability and computational efficiency are checked on computational experiments.
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