Protection scheme for hybrid transmission system using fuzzy inference system and microcontroller

被引:0
|
作者
Yadav, Anamika [1 ]
Ashok, Valabhoju [1 ]
Pazoki, Mohammad [2 ]
机构
[1] Natl Inst Technol, Dept Elect Engn, Raipur 492010, Madhya Pradesh, India
[2] Damghan Univ, Sch Engn, Elect Engn Dept, Damghan, Iran
关键词
Arduino; Fault analysis; Fuzzy inference system (FIS); Overhead (OH) transmission line; Underground (UG) cable; FAULT-LOCATION ALGORITHM; NEURO-FUZZY; LINES; CLASSIFICATION; WAVELET;
D O I
10.1007/s12065-020-00527-0
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a fuzzy inference system and microcontroller-based protection scheme for a combined underground (UG) cable and overhead (OH) transmission line system. The scheme detects, classifies, and locates the fault occurring either in an UG cable or OH transmission line network. Furthermore, the scheme identifies the faulty section. An existing Indian power network i.e., real power system network of C.G. state, consisting of 132 kV, 50 Hz power transmission network connecting Doma substation 220/132 kV to the 132/33 kV Gas Insulated Substation Rawanbhata through combined transmission network is considered. This real power transmission network is simulated by using MATLAB/Simulink software. In this paper, the hardware implementation is also carried out using an open-source hardware, Arduino, which consists of an Atmel 8-bit AVR microcontroller. Both the simulation and hardware results validate that the proposed scheme is accurately detecting, classifying, and locating the fault in less than a half cycle time. Moreover, the percentage error in determining the location of a fault is less than 0.7%.
引用
收藏
页码:529 / 543
页数:15
相关论文
共 50 条
  • [31] Performance prediction of a hybrid microgeneration system using Adaptive Neuro-Fuzzy Inference System (ANFIS) technique
    Yang, L.
    Entchev, E.
    APPLIED ENERGY, 2014, 134 : 197 - 203
  • [32] Picture inference system: a new fuzzy inference system on picture fuzzy set
    Le Hoang Son
    Pham Van Viet
    Pham Van Hai
    APPLIED INTELLIGENCE, 2017, 46 (03) : 652 - 669
  • [33] Picture inference system: a new fuzzy inference system on picture fuzzy set
    Le Hoang Son
    Pham Van Viet
    Pham Van Hai
    Applied Intelligence, 2017, 46 : 652 - 669
  • [34] Application of a hybrid fuzzy inference system to map the susceptibility to fires
    Duarte, Miqueias Lima
    da Silva, Tatiana Acacio
    de Sousa, Jocy Ana Paixao
    de Castro, Amazonino Lemos
    Lourenco, Roberto Wagner
    NATURAL HAZARDS, 2024, : 1117 - 1141
  • [35] Microcontroller Compatible Sealed Lead Acid Battery Remaining Energy Prediction Using Adaptive Neural Fuzzy Inference System
    Akdemir, Bayram
    Gunes, Salih
    Comlekciler, Ismail Taha
    WISM: 2009 INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND MINING, PROCEEDINGS, 2009, : 779 - 783
  • [36] A QoS Aware Dynamic Scheduling Scheme Using Fuzzy Inference System for IEEE 802.16 Networks
    Sadri, Yasser
    Khanmohammadi, Sohrab
    WIRELESS PERSONAL COMMUNICATIONS, 2013, 72 (04) : 2107 - 2125
  • [37] A novel power swing blocking scheme using adaptive neuro-fuzzy inference system
    Zadeh, Hassan Khorashadi
    Li, Zuyi
    ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (07) : 1138 - 1146
  • [38] A QoS Aware Dynamic Scheduling Scheme Using Fuzzy Inference System for IEEE 802.16 Networks
    Yasser Sadri
    Sohrab Khanmohammadi
    Wireless Personal Communications, 2013, 72 : 2107 - 2125
  • [39] Intersection Management System for Autonomous Vehicles using a Fuzzy Inference System
    Ali M.N.
    Kim B.-S.
    IEIE Transactions on Smart Processing and Computing, 2022, 11 (03): : 199 - 212
  • [40] Disease Diagnosis System Using IoT Empowered with Fuzzy Inference System
    Alam, Talha Mahboob
    Shaukat, Kamran
    Khelifi, Adel
    Khan, Wasim Ahmad
    Raza, Hafiz Muhammad Ehtisham
    Idrees, Muhammad
    Luo, Suhuai
    Hameed, Ibrahim A.
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 70 (03): : 5305 - 5319