The purpose of the paper is to demonstrate the experience with distributed computing systems using evolutionary strategies for optimization problems in the gas industry. Two different approaches of distributed computing (cooperating agents and Client-Server) are presented.
Transient optimization of a gas transport is a long-term challenge , . Various optimization procedures have been proposed in the past, which excessively simplified the transport system: e.g., eliminated technological constraints on compressors and pipelines. In addition, a network without controllers or check valves is often assumed. However, these simplifications can lead to inapplicable solutions.
The aim of this article is to optimize the transition between two steady states using a sufficiently realistic simulation, with a complete optimization lasting no more than 30 min. It means to get sufficiently accurate results in a time sufficiently short for practice.
Our design is based on an already developed gas transport simulator (for 1 CPU) that takes into account a large number of real technological and contract constraints , . The optimization solution based on existing simulator opens a possibility of using other simulators in a similar way.
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