Determining Distribution Power System Loading Measurements Accuracy Using Fuzzy Logic

被引:4
|
作者
Motepe, Sibonelo [1 ]
Twala, Bhekisipho [2 ]
Wang, Qing-Guo [2 ]
Stopforth, Riaan [3 ]
机构
[1] Univ Johannesburg, Dept Elect & Elect Engn Sci, ZA-2006 Auckland Pk, South Africa
[2] Univ Johannesburg, Inst Intelligent Syst, ZA-2006 Auckland Pk, South Africa
[3] Univ KwaZulu Natal, Mech Engn Discipline, ZA-4001 Durban, South Africa
关键词
Fuzzy logic; power distribution; power loading; power measurements accuracy; South Africa;
D O I
10.1016/j.promfg.2016.12.028
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a fuzzy logic method and experimental investigation to determine distribution power systems loading measurements accuracy. The method is applied on loading measurements associated with a real South African power systems network, and includes manufacturing supply loading measurements. The results show fuzzy logic as an efficient strategy in determining loading data accuracy in comparison to a traditional approach of manually human analysis. The method is less time consuming relative to the traditional method of going through the data manually. The paper further illustrates that the approach can be applied in manufacturing plants' power systems distribution networks. (C) 2017 Published by Elsevier B.V.
引用
收藏
页码:435 / 439
页数:5
相关论文
共 50 条
  • [31] Power System Dynamic Stability Enhancement of SMIB Using Fuzzy Logic Based Power System Stabilizer
    Rout, Kamalesh Chandra
    Panda, P. C.
    POWER ELECTRONICS AND INSTRUMENTATION ENGINEERING, 2010, 102 : 10 - 14
  • [32] A New Control Strategy with Fuzzy Logic Technique in Distribution System for Power Quality Issues
    Babu, Paduchuri Chandra
    Dash, S. S.
    Bayindir, Ramazan
    Subramani, C.
    Mohanty, Mihir Narayan
    2014 16TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE AND EXPOSITION (PEMC), 2014, : 1110 - 1115
  • [33] A New Control Strategy with Fuzzy Logic Technique in Distribution System for Power Quality Issues
    Babu, Paduchuri Chandra
    Subramani, C.
    Bayindir, Ramazan
    Dash, S. S.
    Mohanty, Mihir Narayan
    INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH, 2015, 5 (01): : 287 - 293
  • [34] High accuracy crash mapping using fuzzy logic
    Imprialou, Maria-Ioanna M.
    Quddus, Mohammed
    Pitfield, David E.
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2014, 42 : 107 - 120
  • [35] Fuzzy logic based power system stabilizer
    Nallathambi, N
    Neelakantan, PN
    E-TECH 2004, 2004, : 68 - 73
  • [36] Study of fuzzy logic power system stabilizer
    Majid, MS
    Rahman, HA
    Jais, OB
    2002 STUDENT CONFERENCE ON RESEARCH AND DEVELOPMENT, PROCEEDINGS: GLOBALIZING RESEARCH AND DEVELOPMENT IN ELECTRICAL AND ELECTRONICS ENGINEERING, 2002, : 335 - 339
  • [37] A Simplified Fuzzy Logic Power System Stabilizer
    Lau, Jun Kit
    Low, Wee Yong
    Lim, Choo Min
    2015 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 2015, : 996 - 1000
  • [38] Fuzzy sets and logic in power system protection
    Kasztenny, B
    Rosolowski, E
    Saha, MM
    Hillstrom, B
    ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS, 1997, 5 (04): : 193 - 203
  • [39] Fuzzy sets and logic in power system protection
    Technical Univ of Wroclaw, Wroclaw, Poland
    International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications, 1997, 5 (04): : 193 - 203
  • [40] An adaptive fuzzy logic power system stabilizer
    Lie, TT
    Sharaf, AM
    ELECTRIC POWER SYSTEMS RESEARCH, 1996, 38 (01) : 75 - 81