基于混合遗传算法的输气管压气站优化运行研究  

Optimal Operation Research of Gas Transmission Line Based on Hybrid Genetic Algorithm

作　　者：许萍[1] 武联中[2] 李著信[1] 叶阳[2] 高松竹[1] 

机构地区：[1]解放军后勤工程学院,重庆400016 [2]西南油气田分公司输气管理处成都运销部,成都610066

出　　处：《微计算机信息》2006年第08X期121-123,共3页Control & Automation

基　　金：中石油西南油气田分公司项目(SCKH4-BD05315)

摘　　要：本文提出了一种将模拟退火算法和遗传算法相结合的混合遗传算法,并将其引入输气管压气站优化运行问题中。结合实例,对不同算法进行了分析比较,结果表明由该算法获得的解比其它算法更优,且具有较好的优化性能、较高的优化效率和较强的鲁棒性。The paper presents a hybrid genetic algorithm which marries simulated annealing with genetic algorithms, and applies it to compressor station＇ s optimal operation of gas transmission line. Then according to an example, the paper analyses and compares several different algorithms. The example shows that the power cost that the hybrid genetic algorithm acquired is better than that the other algorithm acquired, and the hybrid genetic algorithm possesses better optimum capability, upper optimum efficiency and stronger optimum robustness.

关 键 词：输气管 压气站 优化运行 混合遗传算法 

分 类 号：TE863[石油与天然气工程—油气储运工程] TP399[自动化与计算机技术—计算机应用技术]