Confidence Limit Analysis of Water Distribution Systems Based on a Least Squares Loop Flows State Estimation Technique

Corneliu T. C. Arsene, D. Al-Dabass, J. Hartley
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引用次数: 9

Abstract

This paper presents a novel algorithm for uncertainty quantification in water distribution systems, which is termed also Confidence Limit Analysis (CLA), in the context of a Least Squares (LS) state estimator based on the loop corrective flows and the variation of nodal demands as state variables. The confidence limits predicted with the novel algorithm called Error Maximization (EM) method are evaluated with respect to two other more established CLA algorithms based on an Experimental Sensitivity Matrix (ESM) and on a sensitivity matrix obtained with the LS nodal heads equations state estimator. The predicted confidence limits show that the novel EM algorithm is comparable to the other CLA algorithms shown in the paper and due to its computational efficiency renders it suitable for online decision support systems for water distribution systems.
基于最小二乘环流状态估计技术的配水系统置信限分析
本文提出了一种新的供水系统不确定性量化算法,即置信限分析(CLA),该算法基于最小二乘(LS)状态估计器,该状态估计器以回路校正流量和节点需求变化为状态变量。基于实验灵敏度矩阵(ESM)和LS节点头方程状态估计器得到的灵敏度矩阵,对比两种已建立的CLA算法,对误差最大化(EM)方法预测的置信限进行了评估。预测置信限表明,新的EM算法与本文中所示的其他CLA算法相当,并且由于其计算效率使其适合于配水系统的在线决策支持系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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