摘要
原油调合过程中存在非线性控制指标,传统的线性优化技术难以计算出原油加工的最优配比。文中基于原油基本性质和常减压侧线控制指标,采用粒子群算法实现原油加工配方的优化。实例验证了该方案优化出的原油加工配方,使得调合后的原油总价格最低,实现了经济指标的优化。
There are nonlinear control indexes in the crude oil blending process. Using the traditional linear optimizationtechnology is difficult to calculate the optimal proportion of crude oil. Based on the basic properties of crude oil and the indicators ofcrude distillation unit, this paper employs particle swarm algorithm to optimize processing formulation of crude oil.According to theexamples, the crude oil processing formulation optimized by this solving approach was verified, which made the total price of crudeoil the lowest and achieved the optimization of economic indexes.
出处
《炼油与化工》
2018年第1期1-5,共5页
Refining And Chemical Industry
关键词
原油调合
非线性
粒子群算法
罚函数法
线性加权法
crude oil blending
non-linearity
particle swarm algorithm
penalty function
linear weighting method
