...
首页> 外文期刊>International Journal of Electrical Engineering: Transactions of the Chinese Institute of Engineers, Series E >OBSERVABILITY ANALYSIS AND OPTIMAL METER PLACEMENT IN ACTIVE DISTRIBUTION NETWORKS WITH DISTRIBUTED GENERATION
【24h】

OBSERVABILITY ANALYSIS AND OPTIMAL METER PLACEMENT IN ACTIVE DISTRIBUTION NETWORKS WITH DISTRIBUTED GENERATION

机译:具有分布式发电的活动分配网络中的可观察性分析和最优仪表

获取原文
获取原文并翻译 | 示例
           

摘要

The increasing penetration of Distributed Generation (DG) is transforming the distribution networks from passive to active conditions. In this paper, combined with the characteristics of the active distribution network (ADN) with DG, the observability analysis method based on meter placement was employed. Each consumer is classified, and the DG is considered as a special negative load with constant power, which contains two types: photovoltaic (PV) power and wind turbine generation (WTG). The load variation is represented using typical load patterns, and the DG output uncertainty is handled by Latin hypercube sampling (LHS) technique. An efficient graph partitioning method is proposed to partition the weighted tree in the performing meter placement to achieve the observability. In addition, an optimal meter placement algorithm is presented for improving state estimation (SE) accuracy and minimizing the number of measurements, in which analytic hierarchy process (AHP) is employed to determine the weight of observability degree and economy. Finally, test results based on the 14 node system and IEEE 33-bus distribution network verify the efficiency and feasibility of the proposal.
机译:分布式发电(DG)的越来越多的渗透是将分配网络从被动转换为主动条件。本文与DG的主动分配网络(ADN)的特性结合使用,采用基于仪表放置的可观察性分析方法。每个消费者被分类,DG被认为是具有恒定功率的特殊负载,其中包含两种类型:光伏(PV)电源和风力涡轮机代(WTG)。使用典型的负载模式表示负载变化,并且DG输出不确定性由拉丁超立体采样(LHS)技术处理。提出了一种有效的图形分区方法,用于在执行仪表放置中对加权树进行分区以实现可观察性。另外,提出了一种用于提高状态估计(SE)精度并最小化测量次数的最佳仪表放置算法,其中采用分析层次处理(AHP)来确定可观察性程度和经济的重量。最后,基于14节点系统和IEEE 33-母线分配网络的测试结果验证了提案的效率和可行性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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