基于改进CAPSO的原油管道调合多性质优化方法

An Optimization Method of Crude Oil Pipeline Blending Based on Modified CAPSO

摘要:

在仔细研究原油管道调合工艺基础上,提出一种基于改进有约束自适应粒子群优化(CAPSO)算法的原油管道调合多性质优化方法;首先,基于原油调合规则库、优化预处理及设备实际工作能力约束,建立了多原油多性质优化模型；然后,根据原油调合目标,通过CAPSO算法对优化模型进行快速、准确的优化计算,获得多种组分原油的最优配比;投运效果表明,系统能够自动、高效计算出原油调合的最优配比,避免人工计算所造成的一致性差,计算效率低并且不易获得最佳配比的问题,有效提高了加工设备的生产效率。

Abstract:

An optimization method based on modified constraint adaptive particle swarm optimization (CAPSO) algorithm is proposed on the basis of careful analysis of the crude oil pipeline blending process. First of all, a model of properties optimization through many types of crude oil blending is established based on crude oil blending rules, optimization pretreating and the constraints of equipment working ability; then, according to the given crude oil blending target, fast and accurate optimization calculation by using CAPSO algorithm is done to obtain the optimal combination of crude oil components. The actual effect shows that the system can efficiently, automatically calculate the optimal proportion of crude oil blending, avoid the problems such as the poor consistency, low computation efficiency and being not easy to get the best blending ratio caused by manual calculation, effectively improve the production efficiency of the processing equipment.