Real-Time Analysis of Power System Protection Schemes Using Synchronized Data

被引：19

作者：

Kundu, Pratim ^{[1
]}

Pradhan, Ashok Kumar ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Elect Engn, Kharagpur 721302, W Bengal, India

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2018年 / 14卷 / 09期

关键词：

Directional relaying; distance relaying; overcurrent relaying; protection decision; synchrophasor; wide-area measurement system (WAMS); ONLINE IDENTIFICATION; FAILURE; SECURITY;

D O I：

10.1109/TII.2018.2798579

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An error in a power system protection scheme can result in unwanted tripping of healthy lines or delay in the removal of a fault from the network, thus affecting the power system stability. Online identification of such an error provides scope to initiate remedial measures, thereby preventing possible cascade tripping situations. In this paper, a method for real-time analysis of protection decision in a power system is proposed. This method identifies the relay, which has maloperated for an event in the network. For analysis of a relay operation, synchrophasor data from selected locations are obtained depending on the network topology. A function is developed utilizing indices calculated from the synchronized data. Based on the calculated value of the function during an event, the correctness of the protection decision is validated. Results obtained from PSCAD/EMTDC simulations for the New England 39-bus system demonstrate the performance of the proposed method.

引用

页码：3831 / 3839

页数：9

共 50 条

[31] Real-time monitoring and structural control of a wind turbine using a rocking system [J].

Caterino, Nicola ;

Georgakis, Christos T. ;

Occhiuzzi, Antonio ;

Spizzuoco, Mariacristina .

2016 IEEE WORKSHOP ON ENVIRONMENTAL, ENERGY, AND STRUCTURAL MONITORING SYSTEMS (EESMS), 2016,

[32] CAVIDS: Real time intrusion detection system for connected autonomous vehicles using logical analysis of data [J].

Kumar, Anjanee ;

Das, Tanmoy Kanti .

VEHICULAR COMMUNICATIONS, 2023, 43

[33] Impact Analysis of the Memristor Failure on Real-Time Control System of Robotic Arm [J].

Jun Liu ;

Tianshu Li ;

Shukai Duan ;

Lidan Wang .

Neural Processing Letters, 2019, 49 :1321-1333

[34] Impact Analysis of the Memristor Failure on Real-Time Control System of Robotic Arm [J].

Liu, Jun ;

Li, Tianshu ;

Duan, Shukai ;

Wang, Lidan .

NEURAL PROCESSING LETTERS, 2019, 49 (03) :1321-1333

[35] An Accurate and Fast Start-Up Scheme for Power System Real-Time Emergency Control [J].

Yang, Songhao ;

Hao, Zhiguo ;

Zhang, Baohui ;

Hojo, Masahide .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (05) :3562-3572

[36] Integrated Modeling Method of CPS for Real-time Data [J].

Luo C.-X. ;

Wang R. ;

Guan Y. ;

Li X.-J. ;

Shi Z.-P. ;

Song X. .

Ruan Jian Xue Bao/Journal of Software, 2019, 30 (07) :1966-1979

[37] Real-Time Processing and Quality Improvement of Synchrophasor Data [J].

Pourramezan, Reza ;

Karimi, Houshang ;

Mahseredjian, Jean ;

Paolone, Mario .

IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (04) :3313-3324

[38] Smart Generation and Transmission With Coherent, Real-Time Data [J].

Bakken, David E. ;

Bose, Anjan ;

Hauser, Carl H. ;

Whitehead, David E. ;

Zweigle, Gregary C. .

PROCEEDINGS OF THE IEEE, 2011, 99 (06) :928-951

[39] PMU Based Real Time Power System State Estimation using ePHASORsim [J].

Chandra, Arkadipta ;

Pradhan, Ashok Kumar ;

Sinha, Avinash Kumar .

2016 NATIONAL POWER SYSTEMS CONFERENCE (NPSC), 2016,

[40] REAL-TIME FINGERPRINT SENSOR USING A HOLOGRAM [J].

IGAKI, S ;

EGUCHI, S ;

YAMAGISHI, F ;

IKEDA, H ;

INAGAKI, T .

APPLIED OPTICS, 1992, 31 (11) :1794-1802

← 1 2 3 4 5 →