
Analytical expressions for characterising voltage dips and phase‐angle jumps in electricity networks
Author(s) -
Begum Most Tasneem Ara,
Alam Mollah Rezaul,
Muttaqi Kashem M.
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.6348
Subject(s) - electricity , voltage , transformer , fault (geology) , electric power transmission , transmission line , electric power distribution , line (geometry) , reliability engineering , computer science , engineering , control theory (sociology) , electrical engineering , mathematics , geometry , control (management) , artificial intelligence , seismology , geology
Voltage dips/sags are one of the major concerns for electricity consumers as well as utility service providers. Therefore, the characterisation of voltage dips/sags is required. This study presents a set of mathematical expressions for characterising different types of voltage dips/sags and their associated phase‐angle jumps, which are typically found due to faults and/or disturbances in electricity networks. The expressions are derived analytically from the model of the power network containing generators, transmission and/or distribution lines, transformers etc. Four types of voltage dips, namely, A, B, E, and G, which are associated with four major types of faults including balanced three‐phase faults, single line‐to‐ground, double line‐to‐ground, and line‐to‐line faults, are considered to derive the analytical expressions. Dynamic simulation results, using a test distribution system, approve the validity as well as the accuracy of the developed expressions. The influence of fault‐types and fault‐locations is investigated from the mathematical expressions; further, validation is conducted through a simulation study. The analytical expressions, presented in this study, are a valuable tool in the planning stage since the expressions can be employed to characterise during‐fault voltage dips at different buses in electricity network without conducting a large number of repeated dynamic simulations.