Dynamic programming and optimal control for vector-valued functions: A state-of-the-art review

In recent years, with the continuous expansion of natural gas pipelines, the energy consumption of natural gas pipelines has gradually increased. In order to further reduce the energy consumption of the natural gas pipeline, a general steady-state operation model of a natural gas long-distance pipeline is established in this paper, which can calculate the pressure and temperature changes along the pipeline. The paper takes the China-Russia eastern natural gas pipeline as a practical case, and uses the Grey Wolf optimization algorithm to solve it. The results show that the overall pressure drop and temperature drop of the pipeline are reduced after the optimization of the algorithm, and the energy consumption of the pipeline can be reduced by 17.52%, which provides a theoretical basis for the field operation.

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Dynamic programming and optimal control for vector-valued functions: A state-of-the-art review

Abstract: This paper aims to present a state-of-the-art review of recent development within the areas of dynamic programming and optimal control for vector-valued functions

Cited by 3 publications

References 35 publications

Research on Operation Optimization of Crude Oil Pipeline Based on PPSO Algorithm

Research on Operation Optimization of Crude Oil Pipeline Based on PPSO Algorithm

A robust framework for designing blood network in disaster relief: a real-life case

Gas pipeline operation optimization technology based on the grey wolf optimizer algorithm

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