• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Industrial Informatics, IEEE Transactions on >Consensus-Based Smart Grid State Estimation Algorithm
【24h】

Consensus-Based Smart Grid State Estimation Algorithm

机译：基于共识的智能电网状态估计算法

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The distribution power subsystems are usually interconnected to each other, so the design of the interconnected optimal filtering algorithm for distributed state estimation is a challenging task. Driven by this motivation, this paper proposes a novel consensus filter based dynamic state estimation algorithm with its convergence analysis for modern power systems. The novelty of the scheme is that the algorithm is designed based on the mean squared error and semidefinite programming approaches. Specifically, the optimal local gain is computed after minimizing the mean squared error between the true and estimated states. The consensus gain is determined by a convex optimization process with a given suboptimal local gain. Furthermore, the convergence of the proposed scheme is analyzed after stacking all the estimation error dynamics. The Laplacian operator is used to represent the interconnected filter structure as a compact error dynamic for deriving the convergence condition of the algorithm. The developed approach is verified by using the renewable microgrid. It shows that the distributed scheme being explored is effective as it takes only 0.00004 seconds to properly estimate the system states and does not need to transmit the remote sensing signals to the central estimator.
机译：配电电源子系统通常彼此互连，因此，用于互连状态估计的互连最佳滤波算法的设计是一项艰巨的任务。在这种动机的驱使下，本文提出了一种基于共识滤波器的动态状态估计算法，并将其用于现代电力系统的收敛性分析。该方案的新颖之处在于该算法是基于均方误差和半定规划方法设计的。具体而言，在最小化真实状态和估计状态之间的均方误差之后，计算最佳局部增益。共识增益由具有给定次优局部增益的凸优化过程确定。此外，在堆叠所有估计误差动态之后，分析了该方案的收敛性。拉普拉斯算子用于将互连的滤波器结构表示为紧凑的误差动态变量，以推导算法的收敛条件。通过使用可再生微电网验证了开发的方法。它表明正在探索的分布式方案是有效的，因为仅需0.00004秒即可正确估计系统状态，并且不需要将遥感信号传输到中央估计器。

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