Field testing of distribution state estimator

Abstract

State Estimator is the basic functionality necessary for the "smart" operation of power networks, both in transmission and distribution side. Being integrated in a power management system and facing different quality of network data, robustness and efficiency are essential to provide accurate estimation of a power network operation state. Distribution State Estimator, applied in Distribution Management System development project in Guizhou Province in China, was tested in field operation. Estimation principles and test results are described in this article.

Real-life distribution state estimation integrated in the distribution management system

“…The idea to divide the DN into areas (measurement areas, portions, main tree and subtrees, etc) is not new. 10,13,[34][35][36][37] However, one can neither find a formal definition of area nor a formalism for their determination. In this article, the DN is divided into areas in accordance with the observable branches.…”

“…It has already been introduced and chronologically listed. 7,10,13,[34][35][36][37] However, this article introduces a unique procedure for dealing with powers/currents measurements. It is based on the incidence matrix for determination areas of DNs without limitation on DNs' dimensions and the number of power/current measurements.…”

“…Thus, DSE is integrated into DMS and is established as an industry-grade product. 25,[34][35][36]39 Its practical possibilities measured against customers/vendors wishes were presented by Atanackovic et al, 25 Švenda and Strezoski, 26,27 and Johnson. 28 DSE concepts (the set of all data which can be encompassed by DSE and concepts of areas and zones) and DSE data preparation are given in Sections 2 and 3, respectively.…”

“…According to power/current measurements at branches and shunts, the following sets of indices are associated with the DN topology: α b1 -observable branches with measurements at sending ends {6, 8}; α b2 -observable branches with measurements at receiving ends {1, 4, 7}, this set contains the index of supply branch 1, regardless of whether there are measurements at its receiving end; α s -observable shunts {12, 19}; α b0 -unobservable branches {2, 3, 5, 9, 10, 11}, this set does not contain the index of supply branch 1, even if there is no measurements at its receiving end; α s0 -unobservable shunts {13, 14, 15, 16, 17, 18}. [34][35][36] The basic concept of network areas, referring to power/ currents measurements, is presented by Simendić et al, 34 and Katić et al 35 This article presents the practical application of this concept as well as a formal procedure for systematic determination of areas in DNs. In addition, a new concept of zones of ULTCT, referring to voltage measurements, is introduced.…”

Power Quality Monitor Allocation Based on Singular Value Decomposition and Genetic Algorithm

“…Also, regarding the three-phase voltage estimation of all distribution systems nodes, currently only a limited number of utilities have adopted this estimation process (Lubkeman et al 2000;Simendic et al 2005;Katic et al 2013;Atanackovic and Dabic 2013). However, the tests in real systems indicate that this is feasible and sufficiently accurate for the purpose of real-time monitoring (Simendic et al 2005;Katic et al 2013;Melo et al 2019).…”