A certain long-distance parallel pipeline has complex system.Its compressor stations are built together,and the inlet and outlet of the compressor station are equipped with interconnected pipelines and shut-off valves.The flow in the two pipelines can be distributed freely,so that different stations along the line may have a variety of complex conditions,such as the joint operation of the two lines,the independent operation of the two lines,the pressure exceeding the station of the single line,the pressure exceeding the station of the two lines.In order to reduce the energy consumption of the parallel pipeline system,an optimal operation model of parallel pipelines is established in this paper.The model takes the lowest energy consumption as the objective function,and considers various constraints such as compressor natural gas consumption,station flow distribution,and pressure distribution,so as to determine the operation mode of different stations,and calculate the optimal flow distribution be-tween different pipelines.Due to the large number of decision variables in the model,an improved par-ticle swarm algorithm PPSO is used to optimize the model.The best optimization solution is obtained by this algorithm.The results show that the energy consumption of the pipeline system can be reduced by 25.31%after optimization,which has a certain guiding significance for on-site operations.
关键词
天然气/并联管网/粒子群算法(PPSO)/优化模型
Key words
natural gas/parallel pipeline network/phasor particle swarm optimization(PPSO)/opti-mization model
维普
万方数据