Performance Assessment of Fault Locators and Fault Passage Indicators in Distribution Networks by the Non-Sequential Monte Carlo Simulation

被引：0

作者：

Zeljkovic, Cedomir ^{[1
]}

Mrsic, Predrag ^{[1
]}

Lekic, Dorde ^{[1
]}

Erceg, Bojan ^{[1
]}

Matic, Petar ^{[1
]}

Zubic, Sinisa ^{[2
]}

Balcerek, Przemyslaw ^{[3
]}

机构：

[1] Univ Banja Luka, Fac Elect Engn, Banja Luka, Bosnia & Herceg

[2] ABB AB, Grid Automat Prod, Vasteras, Sweden

[3] ABB Corp Res Ctr, Krakow, Poland

来源：

2018 INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (INDEL 2018) | 2018年

关键词：

distribution network; fault locators; fault passage indicators; non-sequential Monte Carlo simulation; performance assessment; RELIABILITY; INCENTIVES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

One of the effective strategies for increasing reliability of the distribution networks is to perform a faster fault localization. The common techniques for accelerating the process of finding the faults are based on application of fault locators and fault passage indicators. The goal of this study is to assess the performance of both techniques, either considered separately or in combination with each other. Since the performance of both concepts depends on various stochastic variables, a comprehensive assessment methodology developed in this paper is based on the non-sequential Monte Carlo simulation.

引用

页数：7

共 37 条

[1] Minimization of Power Interruption Time in MV Distribution Networks with Fault Locators Based on Optimal Placement of Fault Passage Indicators
Mrsic, Predrag
Zeljkovic, Cedomir
Lekic, Dorde
Erceg, Bojan
Matic, Petar
Zubic, Sinisa
Balcerek, Przemyslaw
2018 INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (INDEL 2018), 2018,
[2] Comparison of Analytical and Non-Sequential Monte Carlo Simulation Techniques for Generation Adequacy Assessment
Hossain, Syed Sadman Safat
Khan, Asif Ahmed
Chakma, Pranesh
Anjum, Salman
Huda, A. S. Nazmul
2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) - TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT, 2020, : 234 - 237
[3] Sequential Monte Carlo simulation assessment of the quality of supply in distribution networks
Marantes, C.
Strbac, G.
Allan, R.
2006 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, VOLS 1 AND 2, 2006, : 181 - 186
[4] Frequency-duration analysis of composite distribution system using a non-sequential Monte Carlo simulation
Arya, L. D.
Koshti, Atul
Choube, S. C.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 46 : 17 - 25
[5] A Fast Reliability Assessment Method Based on Sequential Monte Carlo Simulation Considering Historical Fault Data
Xu, Tao
Wang, Yong
Qu, Hanbing
Zhao, Pu
Wang, Yan
2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021), 2021, : 846 - 852
[6] Evaluation of Highly Reliable Cloud Computing Systems using Non-Sequential Monte Carlo Simulation
Snyder, B.
Devabhaktuni, V.
Alam, M.
Green, Robert
2014 IEEE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2014, : 940 - 941
[7] A Model to Represent Correlated Time Series in Reliability Evaluation by Non-Sequential Monte Carlo Simulation
Tancredo Borges, Carmen Lucia
Dias, Julio A. S.
IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (02) : 1511 - 1519
[8] Composite system well-being evaluation based on non-sequential Monte Carlo simulation
Amaral, Tiago S.
Borges, Carmen L. T.
Rei, Andrea M.
ELECTRIC POWER SYSTEMS RESEARCH, 2010, 80 (01) : 37 - 45
[9] Transmission congestion evaluation of power systems using non-sequential Monte Carlo simulation technique
Gan, Ming
Xie, Kaigui
Li, Chunyan
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2015, 25 (04): : 636 - 647
[10] A methodology for reliability assessment of substations using fault tree and Monte Carlo simulation
Barbosa, Jair D.
Santos, Ricardo C.
Romero, Jesus F. A.
Asano, Patricia T. L.
Neto, Antonio V. S.
Camargo, Joao B.
Almeida, Jorge R.
Cugnasca, Paulo S.
ELECTRICAL ENGINEERING, 2019, 101 (01) : 57 - 66

← 1 2 3 4 →