Research on Optimization of Pipeline Operation Scheme Under Different Working Conditions
In order to realize the safe,stable and efficient operation of in-service oil pipelines,an objective function opti-mized with the lowest energy consumption and the least unsafe transmission conditions was established.Under the condition of multiple constraints,the adaptive particle swarm optimization algorithm was used to solve several decision variables,such as pump state,heating furnace state,inverter state,pump speed and heating furnace power.And the application analysis on the ac-tual pipeline was carried out.The results show that the energy consumption before and after optimization is 438.88 yuan/h and 317.61 yuan/h,respectively,which is reduced by 121.27 yuan/h.For the heating pipeline,the operation energy consumption before and after optimization was 2 578.07 yuan/h and 2 428.01 yuan/h,respectively,which was reduced by 150.06 yuan/h.For the variable frequency transmission pipeline,the operation energy consumption before and after optimization is 2 578.07 yuan/h and 2 375.19 yuan/h,respectively,which is reduced by 202.88 yuan/h.The research results can provide practical reference for the formulation and optimization of similar pipeline operation schemes.
particle swarm optimizationoperation energy consumptionpipelineoperation schemeconstraint conditiondeci-sion variable
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