期刊文献+

基于拓扑聚合的输电断面辨识方法与断面传输极限的研究 被引量:4

A method of identifying a transmission section based on topology aggregation and the transmission limit of the section
下载PDF
导出
摘要 国内外多次发生的大停电事故表明输电断面是大规模互联电网的薄弱环节。快速搜索出电网关键输电断面并计算出断面极限传输功率,有利于调度部门及时调整运行方式,避免电网发生大面积停电事故。提出利用电网拓扑聚合算法对电网关键输电断面进行搜索。通过对电网邻接矩阵进行简单的矩阵变换操作,将拓扑中临近节点聚合到邻接矩阵的主对角线附近。直接在变换后的邻接矩阵上对电网输电断面进行快速搜索,然后通过潮流分布因子来辨识关键输电断面。利用磷虾群优化算法构造电网关键输电断面极限传输功率的优化模型,准确计算断面极限传输功率。IEEE14节点系统和IEEE39节点测试系统验证了所提方法的有效性。 Many blackouts at home and abroad show that the transmission section is the weak link in a large-scale interconnected power grid. It is helpful for the dispatching department to adjust operational mode in time to avoid large area blackout incidents by quickly searching the key transmission section and calculating the limit transmission power of the section. In this paper, a topological aggregation algorithm is proposed to search the key transmission sections of the power network. Adjacent nodes in the topology are aggregated to the main diagonal of the adjacency matrix by simple matrix transformation. The power flow distribution factor is used to identify the key transmission section by searching the network transmission section directly on the transformed adjacency matrix. The optimal model of the limit transmission power of the key transmission section is constructed using the krill herd optimization algorithm to accurately calculate the limit transmission power of the section. Work on the IEEE14 node system and IEEE39 node test system verify the effectiveness of the proposed method.
作者 张大波 王博欣 郭怀新 储著伟 杨贺钧 马英浩 ZHANG Dabo;WANG Boxin;GUO Huaixin;CHU Zhuwei;YANG Hejun;MA Yinghao(Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving(Hefei University of Technology),Hefei 230009,China)
出处 《电力系统保护与控制》 EI CSCD 北大核心 2022年第5期33-42,共10页 Power System Protection and Control
基金 国家自然科学基金重点项目资助(51637004)。
关键词 关键输电断面 邻接矩阵 拓扑聚合 磷虾群优化算法 极限传输功率 key transmission section adjacency matrix topology aggregation krill herd optimization algorithm limit transmission power
  • 相关文献

参考文献16

二级参考文献214

共引文献538

同被引文献78

引证文献4

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部