Simultaneous Robust State Estimation, Topology Error Processing, and Outage Detection for Unbalanced Distribution Systems

This paper proposes an efficient algorithmic approach that overcomes the critical challenges in real-time unbalanced distribution system state estimation, topology error processing, and outage identification simultaneously. These include (1) limited locations of measurement devices unsynchronized data as well missing bad data, (2) complicated mixed-phase switch actions mutual impedances shunt admittances, (3) nonlinear nature power flow with distributed energy resources (DERs). A single snap-shot mixed-integer quadratic programming (MIQP) optimization framework is proposed to cope these challenges, which simultaneously identifies network topology, estimates state, detects outages via analytical constraints. An AC optimal (ACOPF) accurately model systems. In MIQP formulation, nonlinearities due operations ACOPF are linearized. The effectiveness verified on actual feeder Arizona. results illustrate robust, accurate, computationally for implementation a management (DMS).