A State Estimation Based System for Fault Detection, Fault Isolation and Service Restoration in Power Distribution Networks

这个小企业创新研究第一阶段项目将展示开发一个成功的基于状态估计的系统的可行性，用于配电网络的故障检测，故障隔离和服务恢复。电力公司将使用这些产品来降低M O成本，因为更快，更有效地响应系统中断，增加收入和设备利用率，因为更快的服务恢复，并推迟资本投资，因为提高可靠性。该系统的主要组成部分是三相配电系统状态估计器（DSSE），它将使用实时遥测数据、预测数据和离线规划数据来估计配电系统电压幅值和角度、馈线流量、Transformer负载和服务负载注入。DSSE的结果将为故障检测、故障隔离和服务恢复提供最佳估计。DSSE的偏差将采用电力系统计算机应用和统计的最新技术。三个最终使用功能，故障检测，故障隔离和服务恢复，也将使用分析和规则为基础的算法开发。还将开发一种特殊用途的测量布局算法，以确保实时DSSE解决方案的质量。

This Small Business Innovation Research Phase I project will demonstrate the feasibility of developing a successful state estimation based system for fault detection, fault isolation, and service restoration in power distribution networks. Electric utilities will use the products to reduce M&O costs due to faster and more efficient responses to system outages, increase revenues and equipment utilization due to faster service restoration, and defer of capital investment due to improved reliability. The major component of the system is the three-phase Distribution System State Estimator (DSSE) which will use real-time telemetered data, forecasted data, and off-line planning data to estimate distribution system voltage magnitudes and angles, feeder flows, transformer loadings, and service load injections. The results from DSSE will provide the best estimate for the purposes of fault detection, fault isolation, and also service restoration. State-of-the-art technologies in the power system computer applications and statistics will be used in the deviation of the DSSE. The three end-use functions, fault detection, fault isolation and service restoration, will also be developed using analytical and rule-based algorithms. A special purpose measurement placement algorithm will also be developed to ensure the quality of the real-time DSSE solutions.