数字气田智能管网协调调峰模型研究  

Research on Pipe-Network Coordination Flood-tide Adjusting Model for Digital Gas Fields

作　　者：王洪泊[1] 王宗杰[1,2] 张仕强 曾广平[1] 涂序彦[1] 

机构地区：[1]北京科技大学信息工程学院 [2]北京科技大学森浪信息科技有限公司 [3]中石化西南分公司川西采输处

出　　处：《计算机应用研究》2006年第8期31-33,44,共4页Application Research of Computers

基　　金：国家"十五"重点科技攻关项目(2004BA616A-11-03);国家自然科学基金资助项目(60375038)

摘　　要：结合气田管网应急调度实际需求,从气田生产中采、集、输、配各环节的整体效益着眼,提出一种基于大系统分解协调的气田管网调峰模型及其实现技术,该模型渗透了大系统分级递阶、分而治之的思想;对复杂管网进行了形式化描述,解决了类似气田复杂管网的计算存储问题,有利于加速管网优化算法的运行。针对气田生产调度实时性问题的解决,构建了基于智能信息推拉技术(IIPP)的快速数据智能推送机制。最后通过示范工程中相关应用系统运行界面的展示证实了模型的有效性。A pipe-net flood tide adjusting model based on large system decomposition and coordination scheduling system frame as well as the concrete realization technique are put forward and come true. The system combines the practical demands and the characteristics of the gas fields, and it aims at dealing with the real-time property, dynamic and complexity during gas fields produce scheduling. The scheme adequately attaches importance to the flexibility. The model and method based on Intelligent Information Pull Push（IIPP） and Intelligent Management（IM） is applied to the system, thus it is helpful to improve the performance of the scheduling system. In according with the current requirement of gas fields pipe-net scheduling, the concrete solvent-rapid data exchange pool based on IIPP is put forward. The related system architecture and software structure is presented. An effective method of solving the real-time property was developed for use in scheduling of the gas field produce. The goal of model is to reduce a large, potentially incoherent network to a smaller comprehensible structure that can be interpreted more readily. At last, gas-net flood tide adjusting scheduling system interface demonstrate the validity of the model, now it is carrying out at the spot in the gas field. The system promotes the intelligence level of the gas field pipe-net producing scheduling and making-decision.

关 键 词：大系统控制 智能自律分散系统 大系统分解协调 智能信息推拉技术 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]