Interval Power Flow Analysis Based on Type-II Fuzzy Logic Forecasting

被引:0
|
作者
Bi, Ruihua [1 ]
Tao, Li [1 ]
Xu, Dongli [1 ]
Wang, Xiang [2 ]
机构
[1] Nanjing Inst Technol, Sch Elect Engn, Nanjing 211167, Jiangsu, Peoples R China
[2] State Grid Ningxia Elect Power Co, Yinchuan 750001, Peoples R China
关键词
interval power flow; type-II fuzzy logic forecasting; interval arithmetic; power analysis;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In the traditional power flow analysis, the output of generator is controllable and certain. While due to the intermittence and randomness of new energy resources, the output of new energy generator is uncertain, traditional power flow calculation cannot deal with this kind of uncertain power flow problem, thus type-II fuzzy logic forecasting and interval arithmetic are applied to solve this uncertain problem in the paper. Type-II fuzzy logic forecasting is used to get the output of generator in a mathematical sense that the uncertain variables can be express as an interval form, then interval arithmetic is applied to calculate power flow. As one of interval arithmetic, Krawczyk-Moore method is applied in power flow calculation in this paper, which convergence does not need to get inverse of interval matrix, and the initial interval obtained by type-II fuzzy logic can improve the problems of early convergence, slow convergence and no convergence which are drawbacks of interval arithmetic. The Algorithm is tested on IEEE 30-bus system to validate the applicability.
引用
收藏
页码:334 / 339
页数:6
相关论文
共 50 条
  • [1] An interval type-II robust fuzzy logic controller for a Static Compensator in a multimachine power system
    Mohagheghi, Salman
    Venayagamoorthy, Ganesh K.
    Harley, Ronald G.
    2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 2241 - +
  • [2] PARAMETER ESTIMATION BASED TYPE-II FUZZY LOGIC
    Kula, K. S.
    Dalkilic, T. E.
    TWMS JOURNAL OF PURE AND APPLIED MATHEMATICS, 2013, 4 (02): : 187 - 193
  • [3] Forecasting study of power load based on interval type-2 fuzzy logic method
    Zheng, Gao
    Xiao, Jian
    Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2012, 16 (09): : 26 - 32
  • [4] Distribution optimization of electric vehicle load space based on interval type-II fuzzy logic algorithm
    Zhang, Zhongwei
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 41 (04) : 4899 - 4904
  • [5] Interval Type-II Fuzzy Rule-Based STATCOM for Voltage Regulation in the Power System
    Hong, Ying-Yi
    Hsieh, Yu-Lun
    ENERGIES, 2015, 8 (08): : 8908 - 8923
  • [6] Power Quality Enhancement in Sensitive Local Distribution Grid Using Interval Type-II Fuzzy Logic Controlled DSTATCOM
    Pandu, Sathish Babu
    Sundarabalan, C. K.
    Srinath, N. S.
    Krishnan, T. Santhana
    Priya, G. Soorya
    Balasundar, C.
    Sharma, Jayant
    Soundarya, G.
    Siano, Pierluigi
    Alhelou, Hassan Haes
    IEEE ACCESS, 2021, 9 : 59888 - 59899
  • [7] Interval Type-II Fuzzy Logic Control of Neutral DC Compensation Method to Moderate DC bias in Power Transformer
    Lasabi, Olanrewaju A.
    Swanson, Andrew G.
    Jarvis, Alan L.
    SAIEE AFRICA RESEARCH JOURNAL, 2024, 115 (04): : 142 - 155
  • [8] Geometric properties of interval type-II fuzzy regions
    Guo Jifa
    Cui Tiejun
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2014, 26 (02) : 563 - 575
  • [9] Interval Type 2 Fuzzy Logic for Significant Wave Height Forecasting
    Hashim, Maymunah Abdul
    Jaafar, Jafreezal
    Taib, Shakirah Mohd
    2012 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA), 2012, : 794 - 798
  • [10] Short-Term Power Load Forecasting by Interval Type-2 Fuzzy Logic System
    Yao, Lan
    Jiang, Yu-lian
    Xiao, Jian
    INFORMATION COMPUTING AND APPLICATIONS, PT II, 2011, 244 : 575 - 582