首页> 外文OA文献 >Critical Lines Identification for Skeleton-Network of Power Systems under Extreme Weather Conditions Based on the Modified VIKOR Method
【2h】

Critical Lines Identification for Skeleton-Network of Power Systems under Extreme Weather Conditions Based on the Modified VIKOR Method

机译:基于改进的Vikor方法的极端天气条件下电力系统骨架网络的临界线识别

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。
获取外文期刊封面目录资料

摘要

Identifying and preferentially reinforcing critical lines for skeleton-network of power systems is significant in improving the secure and stable operation of power systems under extreme weather conditions. Under this background, in this paper, six indexes are first presented for identifying critical lines for skeleton-network with the power elements’ parameters and the impact of extreme weather conditions, the network topology and the operation state of power systems considered. Then, the modified Vise Kriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) method, in which the synthetic weights of indexes determined by the combination weighting method are adopted, is utilized to identify the importance degrees of lines in a given power system. Both the overall performance and the outstanding individual performance of lines are considered, which is beneficial for the critical lines identification for skeleton-network. Finally, the proposed multi-indexes and methods are applied to part of the actual Guangdong power system in China. The numerical results are compared with those obtained by single-attribute and multi-attribute evaluation methods and other evaluation methods.
机译:识别和优先增强用于电力系统的骨架网络的临界线是显着的,在极端天气条件下提高了电力系统的安全稳定运行。在此背景下,在本文中,首先介绍六个索引,用于识别具有功率元件的骨架网络的临界线路,其中功率元件的参数和极端天气条件的影响,网络拓扑和所考虑的电力系统的操作状态。然后,塞尔维亚(Vikor)方法中的修改的VIES Kriterijumska OptimizaCija i Kompromisno Resenje,其中采用由组合加权方法确定的索引的合成权重,以识别给定电力系统中的重要程度。考虑了整体性能和突出的各种性能,这对于骨架网络的临界线识别有益。最后,拟议的多指标和方法应用于中国实际的广东电力系统的一部分。将数值结果与单个属性和多属性评估方法和其他评估方法进行比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号