遗传算法在城市燃气管网优化中的应用
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摘要
城市燃气管网对居民生活和工业生产具有非常重要的作用,同时,其建设具有一次性投资设施较大的特点。因此,在保证用户用气压力的前提下,降低城市管网的建设、改造及运行费用并增强供气系统的安全保障是燃气企业之间相互竞争的关键所在。采用遗传算法对某城市燃气管网中的中压管段进行模拟分析,使城市燃气管网在通过各节点的流量、压力满足管径及管段压力降等约束条件下,对管径参数进行优化以达到管网建设费用最少的目标。
The urban gas pipeline network plays a very important role in residents' living and industrial production, and its construction has the characteristics of large one-time investment facilities. Therefore, reducing the construction, renovation and operation costs of urban pipe network and enhancing the safety of gas supply system under the premise of ensuring the user's gas pressure is the key to competition among gas companies. In this paper, the genetic algorithm is used to simulate the mid-pressure pipe section in a city's gas pipeline network, so that the urban gas pipeline network can carry out the pipe diameter parameters under the constraints of the flow and pressure of each node to meet the pipe diameter and pipe section pressure drop. Optimize to achieve the goal of least network construction cost.
The urban gas pipeline network plays a very important role in residents' living and industrial production, and its construction has the characteristics of large one-time investment facilities. Therefore, reducing the construction, renovation and operation costs of urban pipe network and enhancing the safety of gas supply system under the premise of ensuring the user's gas pressure is the key to competition among gas companies. In this paper, the genetic algorithm is used to simulate the mid-pressure pipe section in a city's gas pipeline network, so that the urban gas pipeline network can carry out the pipe diameter parameters under the constraints of the flow and pressure of each node to meet the pipe diameter and pipe section pressure drop. Optimize to achieve the goal of least network construction cost.
引文
[1]马江平.城市燃气管网动态模拟技术的研究[D].武汉:华中科技大学,2006.
[2]冷婷婷.城市天然气输配系统的优化设计[D].重庆:重庆大学,2004.
[3]金建华.遗传算法在给水管网设计中应用的可行性分析[J].武汉理工大学学报,2004,26(2):56-58.
[4]刘琼.遗传算法在排水管网优化中的应用研究[J].微计算机信息,2011(11):242-243.
[5]Kalogirou Soteris A. Optimization of Solar System Using Artificial Neural-networks and Genetic Algorithms[J].Applied Energy, 2004, 77(4):383-405.
[6]Tolsor Bryan A, Asce A M, Asce M, et al. Genetic Algorithms for Reliability-based Optimization of Water Distribution Systems[J].Journal of Water Resources Planning&Management, 2004, 130(1):63-72.
[7]欧阳曙光.应用MATLAB进行燃气管网水力计算[D].广州化工,2011,39(24):31-33.
[2]冷婷婷.城市天然气输配系统的优化设计[D].重庆:重庆大学,2004.
[3]金建华.遗传算法在给水管网设计中应用的可行性分析[J].武汉理工大学学报,2004,26(2):56-58.
[4]刘琼.遗传算法在排水管网优化中的应用研究[J].微计算机信息,2011(11):242-243.
[5]Kalogirou Soteris A. Optimization of Solar System Using Artificial Neural-networks and Genetic Algorithms[J].Applied Energy, 2004, 77(4):383-405.
[6]Tolsor Bryan A, Asce A M, Asce M, et al. Genetic Algorithms for Reliability-based Optimization of Water Distribution Systems[J].Journal of Water Resources Planning&Management, 2004, 130(1):63-72.
[7]欧阳曙光.应用MATLAB进行燃气管网水力计算[D].广州化工,2011,39(24):31-33.