摘要
针对大电力系统可靠性计算的高度复杂性,基于高性能集群环境,建立了粗粒度Monte Carlo并行计算模型,提出了消息传递机制下配合收敛控制的异步化并行算法,以较高的加速比和并行效率,快速实现大电力系统可靠性评估计算。同时,以大电力系统可靠性评估高性能计算为核心,利用LAMP(Linux+Apache+MySQL+PHP)网络开发工具,建立基于浏览器/服务器(B/S)3层模型的Web计算系统基本结构,提出对应的网络数据库设计和并行计算模块装载模型,以Web Service的形式实现大电力系统可靠性评估高性能计算的Internet共享。
In order to alleviate the calculation catastrophe of bulk power system reliability evaluation, a coarse-grain parallel Monte Carlo simulation methodology and its asynchronous implementations combining convergence checking, based on HPC （high performance computation） Cluster and MPI （message passing interface） communication mechanism, are presented. Meanwhile, a web-based computation system using B/S 3-layer architecture and LAMP （Linux＋Apache＋MySQL＋PHP） network environment is then proposed involving the assembling model of computation module on HPC Cluster for bulk power system reliability evaluation and the network database design for power system reliability information processing. The design and implementation for bulk power system reliability evaluation, in the shape of HPC and Web service, provide a promising approach to the power system analytical software based on grid computation.
出处
《电力系统自动化》
EI
CSCD
北大核心
2006年第18期89-93,共5页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(50577072)
新世纪优秀人才支持计划资助项目(NCET-05-0762)。
关键词
大电力系统可靠性评估
高性能计算
并行处理
Web计算系统
bulk power system reliability evaluation
high performance computation
parallel process
Web-based computation system
