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大规模电力系统潮流转移比多核并行批处理方法 被引量:9

A Parallel Batch Method for Power Flow Transferring Analysis in Large-scale Power Systems
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摘要 实现各类预想故障下潮流转移比快速仿真分析是电网安全稳定运行的重要保证。针对现有实际运行方式中潮流转移分析困难问题,提出大规模电力系统潮流转移比多核并行批处理方法。该方法基于广泛使用的商业大系统分析工具,在参数解析分类、故障自动设置及结果解析的基础上,引入深度优先搜索(depth first search,DFS)算法进行孤立节点和孤岛区域检测以保证网络完整性,结合潮流计算合理性的自动判别以实现潮流转移比的批处理分析;同时在多核环境下,构建基于Fork/Join的并行框架,采用"分治模式"递归分解计算任务,从而实现分析方法的多核并行。算例仿真和在云南电网的实际应用验证了所提方法的有效性和快速性。 Fast power flow transferring simulation analysis under various anticipated faults is an important guarantee for the safety and stability of power grid. To solve the difficulties in power flow transferring analysis during dispatching work, this paper proposed a rapid and accurate parallel batch method based on commercial power system analysis tool. On the basis of parameter analysis, automatically fault set and results parsing, power flow transferring analysis is carried out in batch, in which the topology of network is checked by depth first search(DFS) algorithm and the reasonableness of power flow calculation is also determined automatically. Furthermore, in a parallel framework based on Fork/Join, the batch method is performed in a multi-core parallel way by dividing task into smaller subtasks recursively using "divide-and-conquer" algorithm. Simulation results of New England test system and actual application in Yunnan Power Grid indicate the accuracy and efficiency of the proposed method.
出处 《中国电机工程学报》 EI CSCD 北大核心 2015年第21期5446-5454,共9页 Proceedings of the CSEE
基金 国家863高技术基金项目(2012AA050205)~~
关键词 潮流转移 深度优先搜索 多核并行 Fork/Join框架 PSD-BPA power flow transferring depth first search(DFS) multi-core parallel Fork/Join framework PSD-BPA
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