Novel Strategy for Accurate Locating of Voltage Sag Sources in Smart Distribution Networks with Inverter-Interfaced Distributed Generators

Rusi Chen, Tao Lin, Ruyu Bi and Xialing Xu
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Rusi Chen: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Tao Lin: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Ruyu Bi: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Xialing Xu: Central China Branch of State Grid Corporation of China, Wuhan 430063, China

Energies, 2017, vol. 10, issue 11, 1-20

Abstract: With the aid of power quality monitoring systems (PQMSs), accurate locating of voltage sag sources, which has important significance for guiding maintenance personnel in finding and repairing faults as well as improving power supply reliability, has been becoming a new research hotspot. However, existing methods have unsatisfactory locating accuracy due to the integration of distributed generators (DGs) and fault resistance. In this paper, a novel strategy for accurately locating voltage sag sources in smart distribution networks is proposed. Based on inverse theory, which is well applied in geophysics, the accurate location issue is treated as a two-step optimization model. It aims at making the distribution of voltage phasors and current phasors obtained by theoretical short-circuit calculation match those actually observed as closely as possible. To guarantee the feasibility of the strategy, the effect of inverter-interfaced DGs (IIDGs) which are the main form of DG is considered in the short-circuit calculations. To guarantee the location accuracy of the strategy, fault resistance is treated as an optimization variable in the two-step optimization model to eliminate estimation error of fault resistance. Via two modified IEEE benchmarks with different scales, the validity and the superiorities in applicability and accuracy of the proposed strategy are verified.

Keywords: smart distribution network; voltage sag; short-circuit fault; accurate locating; inverse theory; two-step optimization model; inverter-interfaced distributed generator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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