Petroleum Science >2012,??Issue 1:??89-92 DOI: https://doi.org/10.1007/s12182-012-0187-8
Power optimization of gas pipelines via an improvedparticle swarm optimization algorithm Open?Access
文章信息
作者：Zheng Zhiwei and Wu Changchun
作者单位：
Beijing Key Laboratory of Urban Oil and Gas??Distribution??Technology, China University of Petroleum, Beijing 102249,China;Beijing Key Laboratory of ??Urban ??Oil and Gas ??Distribution ??Technology, ??China ??University of Petroleum, ??Beijing 102249,China
投稿时间：2011-04-15
引用方式：Zheng, Z. & Wu, C. Pet. Sci. (2012) 9: 89. https://doi.org/10.1007/s12182-012-0187-8
文章摘要
In the past decades dynamic programming, genetic algorithms, ant colony optimization algorithms and some gradient algorithms have been applied to power optimization of gas pipelines. In this paper a power optimization model for gas pipelines is developed and an improved particle swarm optimization algorithm is applied. Based on the testing of the parameters involved in the algorithm which need to be defined artificially, the values of these parameters have been recommended which can make the algorithm reach efficiently the approximate optimum solution with required accuracy. Some examples have shown that the relative error of the particle swarm optimization over ant colony optimization and dynamic programming is less than 1% and the computation time is much less than that of ant colony optimization and dynamic programming.
关键词
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Gas pipeline, operation, optimization, particle swarm optimization algorithm